Homework 11
Miles Tweed
3/3/2021
Problem 1
Part a. Fitting the logistic regression model with width:
log.model.width <- glm(sat~width, data=crab, family = binomial(link = "logit"))
summary(log.model.width)##
## Call:
## glm(formula = sat ~ width, family = binomial(link = "logit"),
## data = crab)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.0281 -1.0458 0.5480 0.9066 1.6942
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -12.3508 2.6287 -4.698 2.62e-06 ***
## width 0.4972 0.1017 4.887 1.02e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 225.76 on 172 degrees of freedom
## Residual deviance: 194.45 on 171 degrees of freedom
## AIC: 198.45
##
## Number of Fisher Scoring iterations: 4print(paste0("Increase in odds: ",exp(0.4972)))## [1] "Increase in odds: 1.64411130810165"Width has a positive effect on the likelihood of a female horseshoe crab having a satellite. An increase of one unit of width increases the log odds of satellite by 0.4972 which increases the odds of a satellite by 1.64.
width.new <- seq(from = min(crab$width), to=max(crab$width), length.out=100)
plotdata <- tibble(
width = width.new,
log.odds = predict(log.model.width, newdata=data.frame(width=width.new), type="link"),
odds = exp(log.odds),
prob = odds/(1+odds)
)
predictions <- predict(log.model.width, newdata=data.frame(width=width.new), type="link", se.fit=TRUE)
se.log.odds <- predictions$se.fit
plotdata <- plotdata %>% mutate(
log.odds.LB = log.odds - 1.96*se.log.odds,
log.odds.UB = log.odds + 1.96*se.log.odds
)
plotdata <- plotdata %>% mutate(
odds.LB = exp(log.odds.LB),
odds.UB = exp(log.odds.UB),
prob.LB = odds.LB/(1+odds.LB),
prob.UB = odds.UB/(1+odds.UB)
)
prob.plot.width <-
ggplot(plotdata, aes(x=width, y=prob)) +
geom_line(color="blue", size=1) +
theme_bw() +
labs(title = "Probability of Having a Satellite",
subtitle = "for a given carapace width",
x = "Width",
y = "Probability")
prob.plot.width
prob.plot.width +
geom_ribbon(aes(ymin=prob.LB, ymax=prob.UB), fill="blue", alpha=0.1)
Part b.
log.model.width.color <- glm(sat~width+color1, data=crab, family = binomial())
summary(log.model.width.color)##
## Call:
## glm(formula = sat ~ width + color1, family = binomial(), data = crab)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.0821 -0.9932 0.5274 0.8606 2.1553
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -11.6790 2.6925 -4.338 1.44e-05 ***
## width 0.4782 0.1041 4.592 4.39e-06 ***
## color1dark -1.3005 0.5259 -2.473 0.0134 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 225.76 on 172 degrees of freedom
## Residual deviance: 187.96 on 170 degrees of freedom
## AIC: 193.96
##
## Number of Fisher Scoring iterations: 4print(paste("Change in odds: ", exp(0.478)))## [1] "Change in odds: 1.61284548338362"The addition of color, which had a negative effect, did not change the effect of width on the likelihood of having a satellite. This model predicts that an increase of one unit of width will increase the odds of having a satellite by 1.61 (as opposed to 1.64 in the previous model). In the plot of probability we would expect that the likelihood will increase with width but that the darker crabs will have a lower likelihood overall.
# These plots are totally different from yours...they are blue
mygrid <- expand.grid(width = width.new, color1 = levels(crab$color1))
predictions <- predict(log.model.width.color, newdata=mygrid, type="link", se.fit=TRUE)
plotdata <- tibble(
width = mygrid$width,
color1 = mygrid$color1,
log.odds = predictions$fit,
log.odds.LB = log.odds - 1.96*predictions$se.fit,
log.odds.UB = log.odds + 1.96*predictions$se.fit,
prob = exp(log.odds)/(1+exp(log.odds)),
prob.LB = exp(log.odds.LB)/(1+exp(log.odds.LB)),
prob.UB = exp(log.odds.UB)/(1+exp(log.odds.UB))
)
mycol <- brewer.pal(8, "BuPu")[c(3,5)]
ggplot(data=plotdata, aes(x=width, y=log.odds, color=color1)) +
geom_line(size=1) +
geom_ribbon(aes(ymin=log.odds.LB, ymax=log.odds.UB, fill=color1), color=NA, alpha=0.1) +
scale_color_manual(values = mycol, name="Color:") +
scale_fill_manual(values = mycol, name="Color:") +
theme_bw() +
theme(legend.position = "top") +
labs(title="Female Horseshoe Crab Mating", x="Crab Width", y="Log-odds of Satellite")
ggplot(data=plotdata, aes(x=width, y=prob, color=color1)) +
geom_line(size=1) +
geom_ribbon(aes(ymin=prob.LB, ymax=prob.UB, fill=color1), color=NA, alpha=0.1) +
scale_color_manual(values = mycol, name="Color:") +
scale_fill_manual(values = mycol, name="Color:") +
theme_bw() +
theme(legend.position = "top") +
labs(title="Female Horseshoe Crab Mating", x="Crab Width", y="Probability of Satellite")
Part c.
Lighter colored crabs had increased probabilities of having a satellite than darker colored ones overall, but this effect was less significant among small (low width) crabs as well as for very large crabs. The effect of width seems to be the largest for average sized crabs. Those with width of 25 units were approximately 30% more likely to have a satellite if they were lightly colored than if they were dark.
Part d.
log.model.widthXcolor <- glm(sat~width*color1, data=crab, family = binomial())
summary(log.model.widthXcolor)##
## Call:
## glm(formula = sat ~ width * color1, family = binomial(), data = crab)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.1366 -0.9344 0.4996 0.8554 1.7753
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -12.8117 2.9576 -4.332 1.48e-05 ***
## width 0.5222 0.1146 4.556 5.21e-06 ***
## color1dark 6.9578 7.3182 0.951 0.342
## width:color1dark -0.3217 0.2857 -1.126 0.260
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 225.76 on 172 degrees of freedom
## Residual deviance: 186.79 on 169 degrees of freedom
## AIC: 194.79
##
## Number of Fisher Scoring iterations: 4predictions2 <- predict(log.model.widthXcolor, newdata=mygrid, type="link", se.fit=TRUE)
plotdata2 <- tibble(
width = mygrid$width,
color1 = mygrid$color1,
log.odds = predictions2$fit,
log.odds.LB = log.odds - 1.96*predictions2$se.fit,
log.odds.UB = log.odds + 1.96*predictions2$se.fit,
prob = exp(log.odds)/(1+exp(log.odds)),
prob.LB = exp(log.odds.LB)/(1+exp(log.odds.LB)),
prob.UB = exp(log.odds.UB)/(1+exp(log.odds.UB))
)
ggplot(data=plotdata2, aes(x=width, y=log.odds, color=color1)) +
geom_line(size=1) +
geom_ribbon(aes(ymin=log.odds.LB, ymax=log.odds.UB, fill=color1), color=NA, alpha=0.1) +
scale_color_manual(values = mycol, name="Color:") +
scale_fill_manual(values = mycol, name="Color:") +
theme_bw() +
theme(legend.position = "top") +
labs(title="Female Horseshoe Crab Mating", x="Crab Width", y="Log-odds of Satellite")
ggplot(data=plotdata2, aes(x=width, y=prob, color=color1)) +
geom_line(size=1) +
geom_ribbon(aes(ymin=prob.LB, ymax=prob.UB, fill=color1), color=NA, alpha=0.1) +
scale_color_manual(values = mycol, name="Color:") +
scale_fill_manual(values = mycol, name="Color:") +
theme_bw() +
theme(legend.position = "top") +
labs(title="Female Horseshoe Crab Mating", x="Crab Width", y="Probability of Satellite")
The inclusion of interaction terms did not effect the likelihood for lighter colored crabs much but it increased the uncertainty for the darker crabs immensely.
Problem 2
Stroke <- read.csv('../../Data/healthcare-dataset-stroke-data.csv')
Stroke[,'bmi'] <- as.numeric(Stroke$bmi)
head(Stroke)## id gender age hypertension heart_disease ever_married work_type
## 1 9046 Male 67 0 1 Yes Private
## 2 51676 Female 61 0 0 Yes Self-employed
## 3 31112 Male 80 0 1 Yes Private
## 4 60182 Female 49 0 0 Yes Private
## 5 1665 Female 79 1 0 Yes Self-employed
## 6 56669 Male 81 0 0 Yes Private
## Residence_type avg_glucose_level bmi smoking_status stroke
## 1 Urban 228.69 36.6 formerly smoked 1
## 2 Rural 202.21 NA never smoked 1
## 3 Rural 105.92 32.5 never smoked 1
## 4 Urban 171.23 34.4 smokes 1
## 5 Rural 174.12 24.0 never smoked 1
## 6 Urban 186.21 29.0 formerly smoked 1Part a.
# Looking at the distribution of smoking status for only those who had a stroke.
bar.one.cat.df <-
Stroke %>%
mutate(smoking_status = fct_recode(smoking_status,
"Smokes" = "smokes",
"Formerly Smoked" = "formerly smoked",
"Never Smoked" = "never smoked",
"Unknown" = "Unknown")) %>%
filter(stroke==TRUE) %>%
count(smoking_status) %>%
mutate(percent=100*n/sum(n)) %>%
mutate(smoking_status = fct_relevel(smoking_status,
"Smokes",
"Formerly Smoked",
"Never Smoked",
"Unknown"))
bar.one.cat.df## smoking_status n percent
## 1 Formerly Smoked 70 28.11245
## 2 Never Smoked 90 36.14458
## 3 Smokes 42 16.86747
## 4 Unknown 47 18.87550fig1 <-
plot_ly(data=bar.one.cat.df,
type='bar',
x = ~smoking_status,
y = ~percent,
color = ~smoking_status,
showlegend = FALSE
) %>%
layout(
title = list(text="Smoking Status of Stroke Patients", xref="paper"),
xaxis = list(title="Smoking Status"),
yaxis = list(title = "Percent")
)
fig1Part b.
# There was only one instance of 'Other' in gender so I removed it for this plot
bar.two.cat.df <- Stroke %>%
mutate(smoking_status = fct_recode(smoking_status,
"Smokes" = "smokes",
"Formerly Smoked" = "formerly smoked",
"Never Smoked" = "never smoked",
"Unknown" = "Unknown"))%>%
filter(gender != 'Other', stroke == TRUE) %>%
count(smoking_status, gender) %>%
mutate(percent=100*n/sum(n)) %>%
mutate(smoking_status = fct_relevel(smoking_status,
"Smokes",
"Formerly Smoked",
"Never Smoked",
"Unknown"))
bar.two.cat.df## smoking_status gender n percent
## 1 Formerly Smoked Female 34 13.654618
## 2 Formerly Smoked Male 36 14.457831
## 3 Never Smoked Female 63 25.301205
## 4 Never Smoked Male 27 10.843373
## 5 Smokes Female 19 7.630522
## 6 Smokes Male 23 9.236948
## 7 Unknown Female 25 10.040161
## 8 Unknown Male 22 8.835341fig2 <-
plot_ly(data=bar.two.cat.df,
type='bar',
x = ~smoking_status,
y = ~percent,
color = ~gender
) %>%
layout(
title = list(text = "Smoking Status By Gender for Stroke Patients", xref = "paper"),
xlabel = list(title = "Smoking Status"),
ylabel = list(title = "Percent")
)
fig2## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels
## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels## Warning: 'layout' objects don't have these attributes: 'xlabel', 'ylabel'
## Valid attributes include:
## 'font', 'title', 'uniformtext', 'autosize', 'width', 'height', 'margin', 'computed', 'paper_bgcolor', 'plot_bgcolor', 'separators', 'hidesources', 'showlegend', 'colorway', 'datarevision', 'uirevision', 'editrevision', 'selectionrevision', 'template', 'modebar', 'newshape', 'activeshape', 'meta', 'transition', '_deprecated', 'clickmode', 'dragmode', 'hovermode', 'hoverdistance', 'spikedistance', 'hoverlabel', 'selectdirection', 'grid', 'calendar', 'xaxis', 'yaxis', 'ternary', 'scene', 'geo', 'mapbox', 'polar', 'radialaxis', 'angularaxis', 'direction', 'orientation', 'editType', 'legend', 'annotations', 'shapes', 'images', 'updatemenus', 'sliders', 'colorscale', 'coloraxis', 'metasrc', 'barmode', 'bargap', 'mapType'Part c.
fig2 <-
plot_ly(data=bar.two.cat.df,
type='bar',
y = ~smoking_status,
x = ~percent,
color = ~gender,
orientation = 'h'
) %>%
layout(
title = list(text = "Smoking Status By Gender for Stroke Patients", xref = "paper"),
ylabel = list(title = "Smoking Status"),
xlabel = list(title = "Percent")
)
fig2## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels
## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels## Warning: 'layout' objects don't have these attributes: 'ylabel', 'xlabel'
## Valid attributes include:
## 'font', 'title', 'uniformtext', 'autosize', 'width', 'height', 'margin', 'computed', 'paper_bgcolor', 'plot_bgcolor', 'separators', 'hidesources', 'showlegend', 'colorway', 'datarevision', 'uirevision', 'editrevision', 'selectionrevision', 'template', 'modebar', 'newshape', 'activeshape', 'meta', 'transition', '_deprecated', 'clickmode', 'dragmode', 'hovermode', 'hoverdistance', 'spikedistance', 'hoverlabel', 'selectdirection', 'grid', 'calendar', 'xaxis', 'yaxis', 'ternary', 'scene', 'geo', 'mapbox', 'polar', 'radialaxis', 'angularaxis', 'direction', 'orientation', 'editType', 'legend', 'annotations', 'shapes', 'images', 'updatemenus', 'sliders', 'colorscale', 'coloraxis', 'metasrc', 'barmode', 'bargap', 'mapType'Part d.
plotdata.pie <-
Stroke %>% select(work_type) %>% count(work_type) %>% mutate(total = 100*n/sum(n))
plot_ly(plotdata.pie,
labels = ~work_type ,
values = ~total,
type = 'pie') %>%
layout(
title = list(text="Distribution Employment Type")
)Part e.
fig3 <-
plot_ly(data=Stroke,
type='histogram',
x = ~avg_glucose_level,
xbins = list(size = 10)
) %>%
layout(
title = list(text="Distribution of Average Glucose Level"),
xaxis = list(title = "Average Glucose Level"),
yaxis = list(title = "Frequency")
)
fig3Part f.
bplotdata <- Stroke %>% select(bmi) %>% drop_na()
bplotdata## bmi
## 1 36.6
## 2 32.5
## 3 34.4
## 4 24.0
## 5 29.0
## 6 27.4
## 7 22.8
## 8 24.2
## 9 29.7
## 10 36.8
## 11 27.3
## 12 28.2
## 13 30.9
## 14 37.5
## 15 25.8
## 16 37.8
## 17 22.4
## 18 48.9
## 19 26.6
## 20 32.5
## 21 27.2
## 22 23.5
## 23 28.2
## 24 28.3
## 25 44.2
## 26 25.4
## 27 22.2
## 28 30.5
## 29 29.7
## 30 26.5
## 31 33.7
## 32 23.1
## 33 32.0
## 34 29.9
## 35 23.9
## 36 28.5
## 37 26.4
## 38 20.2
## 39 33.6
## 40 38.6
## 41 33.7
## 42 39.2
## 43 27.7
## 44 31.4
## 45 36.5
## 46 33.2
## 47 32.8
## 48 27.7
## 49 40.4
## 50 22.2
## 51 25.3
## 52 30.2
## 53 24.0
## 54 47.5
## 55 20.3
## 56 30.0
## 57 28.9
## 58 28.1
## 59 31.1
## 60 27.4
## 61 26.4
## 62 21.7
## 63 27.0
## 64 24.1
## 65 45.9
## 66 44.1
## 67 22.9
## 68 29.7
## 69 29.1
## 70 27.3
## 71 32.3
## 72 41.1
## 73 25.6
## 74 29.8
## 75 26.3
## 76 37.5
## 77 26.2
## 78 29.4
## 79 32.3
## 80 24.4
## 81 31.4
## 82 27.7
## 83 28.0
## 84 28.8
## 85 31.4
## 86 34.6
## 87 19.4
## 88 28.5
## 89 30.3
## 90 40.4
## 91 24.2
## 92 41.5
## 93 22.6
## 94 24.2
## 95 56.6
## 96 27.1
## 97 30.9
## 98 27.3
## 99 31.3
## 100 24.0
## 101 31.0
## 102 28.0
## 103 30.3
## 104 31.7
## 105 35.8
## 106 28.4
## 107 24.0
## 108 29.0
## 109 36.5
## 110 20.1
## 111 36.5
## 112 26.7
## 113 38.7
## 114 29.9
## 115 34.9
## 116 27.0
## 117 26.6
## 118 25.0
## 119 23.8
## 120 21.8
## 121 36.8
## 122 30.0
## 123 27.5
## 124 24.6
## 125 32.9
## 126 26.1
## 127 31.9
## 128 34.1
## 129 27.5
## 130 25.6
## 131 36.9
## 132 31.4
## 133 37.3
## 134 34.1
## 135 25.0
## 136 45.7
## 137 34.2
## 138 23.6
## 139 27.3
## 140 22.3
## 141 31.4
## 142 26.4
## 143 32.9
## 144 37.1
## 145 45.0
## 146 25.5
## 147 26.1
## 148 30.8
## 149 32.0
## 150 29.9
## 151 37.4
## 152 31.7
## 153 34.5
## 154 27.9
## 155 29.5
## 156 46.0
## 157 42.5
## 158 35.5
## 159 31.1
## 160 26.9
## 161 35.8
## 162 45.5
## 163 28.5
## 164 26.6
## 165 31.5
## 166 32.0
## 167 30.8
## 168 31.1
## 169 33.0
## 170 23.4
## 171 26.9
## 172 33.6
## 173 23.9
## 174 26.3
## 175 27.3
## 176 30.7
## 177 20.5
## 178 21.5
## 179 31.0
## 180 27.1
## 181 40.0
## 182 28.6
## 183 28.1
## 184 28.4
## 185 42.2
## 186 25.8
## 187 31.9
## 188 31.0
## 189 27.5
## 190 29.6
## 191 35.4
## 192 16.9
## 193 21.5
## 194 34.4
## 195 28.0
## 196 26.8
## 197 39.3
## 198 31.7
## 199 32.6
## 200 28.4
## 201 35.9
## 202 21.2
## 203 34.5
## 204 42.4
## 205 40.5
## 206 36.7
## 207 30.9
## 208 29.3
## 209 19.6
## 210 18.0
## 211 39.2
## 212 17.6
## 213 35.9
## 214 19.1
## 215 50.1
## 216 17.7
## 217 27.0
## 218 32.3
## 219 54.6
## 220 35.0
## 221 22.0
## 222 39.4
## 223 26.1
## 224 42.4
## 225 33.0
## 226 19.7
## 227 22.5
## 228 24.6
## 229 25.2
## 230 41.8
## 231 60.9
## 232 31.5
## 233 27.3
## 234 23.7
## 235 24.5
## 236 28.4
## 237 26.9
## 238 26.7
## 239 31.2
## 240 25.0
## 241 25.4
## 242 27.5
## 243 16.0
## 244 27.0
## 245 31.6
## 246 25.1
## 247 30.9
## 248 24.8
## 249 23.4
## 250 29.4
## 251 18.3
## 252 20.0
## 253 19.5
## 254 36.0
## 255 27.7
## 256 27.5
## 257 28.5
## 258 26.8
## 259 33.6
## 260 29.1
## 261 28.5
## 262 34.9
## 263 25.1
## 264 35.3
## 265 26.4
## 266 31.5
## 267 40.1
## 268 43.1
## 269 36.7
## 270 29.3
## 271 21.2
## 272 31.2
## 273 21.4
## 274 27.9
## 275 34.3
## 276 31.0
## 277 27.7
## 278 36.0
## 279 38.7
## 280 27.6
## 281 25.1
## 282 16.5
## 283 22.8
## 284 35.4
## 285 24.3
## 286 34.3
## 287 40.1
## 288 25.7
## 289 21.9
## 290 38.4
## 291 26.1
## 292 30.5
## 293 25.9
## 294 54.7
## 295 29.9
## 296 18.6
## 297 27.1
## 298 24.9
## 299 25.2
## 300 19.4
## 301 29.0
## 302 48.2
## 303 34.6
## 304 24.6
## 305 25.8
## 306 26.1
## 307 29.0
## 308 27.2
## 309 20.7
## 310 30.0
## 311 37.3
## 312 34.1
## 313 23.6
## 314 25.2
## 315 39.5
## 316 23.5
## 317 23.3
## 318 64.8
## 319 28.1
## 320 24.4
## 321 29.8
## 322 24.9
## 323 35.1
## 324 32.3
## 325 43.6
## 326 21.0
## 327 47.3
## 328 16.6
## 329 37.5
## 330 24.2
## 331 31.6
## 332 21.6
## 333 31.0
## 334 31.1
## 335 15.5
## 336 27.3
## 337 20.5
## 338 35.6
## 339 16.7
## 340 41.8
## 341 41.9
## 342 16.4
## 343 17.1
## 344 29.2
## 345 27.1
## 346 37.9
## 347 44.6
## 348 22.8
## 349 33.2
## 350 22.3
## 351 26.4
## 352 39.6
## 353 28.1
## 354 39.2
## 355 36.0
## 356 37.8
## 357 40.3
## 358 41.5
## 359 17.7
## 360 21.2
## 361 41.6
## 362 23.8
## 363 23.7
## 364 24.8
## 365 39.0
## 366 37.9
## 367 31.1
## 368 23.2
## 369 18.9
## 370 36.1
## 371 36.3
## 372 40.5
## 373 25.4
## 374 46.5
## 375 16.8
## 376 46.6
## 377 26.4
## 378 26.2
## 379 35.2
## 380 20.9
## 381 36.8
## 382 34.4
## 383 22.2
## 384 13.8
## 385 40.3
## 386 28.4
## 387 31.7
## 388 34.2
## 389 54.7
## 390 24.6
## 391 36.9
## 392 31.1
## 393 31.9
## 394 31.8
## 395 18.0
## 396 28.5
## 397 29.5
## 398 22.0
## 399 29.4
## 400 28.8
## 401 26.2
## 402 26.9
## 403 23.2
## 404 27.9
## 405 36.8
## 406 28.9
## 407 31.0
## 408 29.4
## 409 15.3
## 410 37.1
## 411 30.5
## 412 38.2
## 413 23.2
## 414 30.2
## 415 45.2
## 416 21.8
## 417 24.4
## 418 17.0
## 419 19.5
## 420 49.8
## 421 27.8
## 422 25.1
## 423 26.8
## 424 60.2
## 425 27.5
## 426 28.1
## 427 27.3
## 428 27.4
## 429 22.2
## 430 22.9
## 431 26.6
## 432 23.0
## 433 32.6
## 434 22.1
## 435 22.5
## 436 25.5
## 437 31.4
## 438 26.0
## 439 20.0
## 440 31.6
## 441 31.2
## 442 21.7
## 443 24.2
## 444 25.0
## 445 36.7
## 446 28.9
## 447 29.7
## 448 44.3
## 449 51.0
## 450 39.7
## 451 34.7
## 452 35.0
## 453 21.3
## 454 29.1
## 455 23.9
## 456 36.0
## 457 41.2
## 458 27.1
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## 460 25.4
## 461 30.7
## 462 34.8
## 463 19.2
## 464 31.7
## 465 35.7
## 466 37.8
## 467 29.7
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## 469 23.6
## 470 39.7
## 471 40.5
## 472 21.4
## 473 40.8
## 474 24.7
## 475 21.0
## 476 45.0
## 477 26.2
## 478 28.3
## 479 41.6
## 480 19.0
## 481 32.4
## 482 34.0
## 483 39.4
## 484 28.7
## 485 31.8
## 486 31.2
## 487 20.9
## 488 32.1
## 489 31.0
## 490 23.1
## 491 26.7
## 492 27.9
## 493 27.3
## 494 51.5
## 495 20.4
## 496 29.6
## 497 30.6
## 498 33.6
## 499 71.9
## 500 24.2
## 501 17.7
## 502 22.6
## 503 28.1
## 504 26.5
## 505 28.7
## 506 39.5
## 507 35.1
## 508 27.9
## 509 19.3
## 510 28.4
## 511 26.7
## 512 40.9
## 513 17.2
## 514 28.3
## 515 16.1
## 516 27.6
## 517 16.5
## 518 35.8
## 519 16.2
## 520 24.6
## 521 32.0
## 522 35.3
## 523 19.2
## 524 40.4
## 525 30.7
## 526 24.3
## 527 26.4
## 528 34.7
## 529 31.7
## 530 35.6
## 531 22.8
## 532 28.0
## 533 35.6
## 534 40.6
## 535 29.3
## 536 21.0
## 537 20.0
## 538 26.7
## 539 18.4
## 540 34.5
## 541 27.7
## 542 21.1
## 543 24.4
## 544 19.4
## 545 42.3
## 546 32.2
## 547 26.8
## 548 25.4
## 549 23.5
## 550 50.2
## 551 26.1
## 552 17.5
## 553 24.2
## 554 30.8
## 555 23.4
## 556 30.9
## 557 23.6
## 558 18.7
## 559 27.7
## 560 16.7
## 561 31.2
## 562 17.0
## 563 29.8
## 564 19.7
## 565 29.1
## 566 27.2
## 567 22.3
## 568 27.0
## 569 42.1
## 570 34.2
## 571 40.9
## 572 29.4
## 573 32.8
## 574 21.9
## 575 39.6
## 576 28.3
## 577 47.8
## 578 39.3
## 579 28.0
## 580 27.1
## 581 31.2
## 582 23.1
## 583 20.8
## 584 34.1
## 585 30.1
## 586 35.8
## 587 34.6
## 588 29.8
## 589 26.7
## 590 30.2
## 591 29.7
## 592 54.6
## 593 23.3
## 594 35.6
## 595 27.0
## 596 21.6
## 597 29.4
## 598 22.8
## 599 17.3
## 600 29.8
## 601 36.4
## 602 34.7
## 603 28.7
## 604 26.7
## 605 22.1
## 606 27.7
## 607 40.5
## 608 23.0
## 609 25.3
## 610 22.1
## 611 28.0
## 612 12.0
## 613 28.4
## 614 29.6
## 615 36.2
## 616 22.8
## 617 55.7
## 618 24.3
## 619 26.9
## 620 25.3
## 621 35.3
## 622 18.3
## 623 26.0
## 624 21.0
## 625 55.7
## 626 27.6
## 627 20.5
## 628 30.2
## 629 21.9
## 630 28.8
## 631 36.2
## 632 25.9
## 633 21.4
## 634 20.4
## 635 31.6
## 636 14.4
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## 638 30.2
## 639 19.5
## 640 32.6
## 641 34.2
## 642 43.0
## 643 42.2
## 644 19.7
## 645 41.7
## 646 21.6
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## 649 25.8
## 650 23.2
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## 652 28.4
## 653 30.2
## 654 23.1
## 655 16.7
## 656 39.5
## 657 33.8
## 658 34.6
## 659 25.0
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## 663 22.7
## 664 27.1
## 665 25.6
## 666 28.4
## 667 57.5
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## 671 43.6
## 672 31.2
## 673 23.5
## 674 18.7
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## 678 29.4
## 679 38.5
## 680 23.5
## 681 16.3
## 682 35.9
## 683 35.9
## 684 20.3
## 685 32.3
## 686 27.9
## 687 22.3
## 688 31.8
## 689 29.7
## 690 27.1
## 691 24.5
## 692 28.9
## 693 24.6
## 694 31.6
## 695 32.3
## 696 41.1
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## 698 26.4
## 699 30.0
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## 701 44.0
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## 703 17.2
## 704 29.1
## 705 27.4
## 706 23.5
## 707 31.8
## 708 23.5
## 709 28.5
## 710 32.7
## 711 54.2
## 712 25.6
## 713 41.2
## 714 27.0
## 715 21.3
## 716 34.3
## 717 29.5
## 718 31.6
## 719 26.1
## 720 27.5
## 721 26.5
## 722 33.2
## 723 40.2
## 724 32.5
## 725 23.4
## 726 32.5
## 727 23.9
## 728 29.5
## 729 24.0
## 730 17.7
## 731 26.2
## 732 33.3
## 733 17.4
## 734 29.0
## 735 21.7
## 736 37.8
## 737 41.8
## 738 24.2
## 739 31.1
## 740 23.1
## 741 25.1
## 742 41.3
## 743 22.7
## 744 24.0
## 745 20.5
## 746 20.4
## 747 27.6
## 748 27.0
## 749 26.4
## 750 34.9
## 751 35.0
## 752 28.5
## 753 32.3
## 754 23.9
## 755 52.3
## 756 26.4
## 757 20.9
## 758 23.3
## 759 32.7
## 760 26.5
## 761 27.9
## 762 30.3
## 763 27.6
## 764 14.6
## 765 40.9
## 766 28.4
## 767 23.7
## 768 27.9
## 769 25.2
## 770 34.4
## 771 36.7
## 772 22.2
## 773 27.2
## 774 27.3
## 775 27.3
## 776 42.2
## 777 26.4
## 778 39.4
## 779 34.8
## 780 20.0
## 781 34.1
## 782 31.4
## 783 17.8
## 784 46.1
## 785 28.1
## 786 24.7
## 787 22.7
## 788 34.6
## 789 21.4
## 790 27.4
## 791 36.6
## 792 32.9
## 793 24.7
## 794 21.4
## 795 33.1
## 796 26.7
## 797 24.4
## 798 25.8
## 799 34.3
## 800 18.1
## 801 43.8
## 802 26.9
## 803 36.6
## 804 24.9
## 805 27.6
## 806 20.9
## 807 30.3
## 808 37.4
## 809 35.9
## 810 50.3
## 811 31.5
## 812 24.4
## 813 38.9
## 814 28.6
## 815 27.5
## 816 43.7
## 817 27.0
## 818 29.3
## 819 34.7
## 820 39.9
## 821 26.7
## 822 24.8
## 823 29.7
## 824 15.9
## 825 31.4
## 826 27.8
## 827 35.5
## 828 31.7
## 829 33.2
## 830 27.7
## 831 31.9
## 832 25.8
## 833 27.7
## 834 23.4
## 835 24.3
## 836 30.3
## 837 29.1
## 838 20.1
## 839 21.2
## 840 31.6
## 841 41.6
## 842 36.4
## 843 30.5
## 844 32.8
## 845 32.3
## 846 30.1
## 847 34.7
## 848 29.7
## 849 31.3
## 850 35.6
## 851 35.2
## 852 27.6
## 853 35.2
## 854 28.1
## 855 31.8
## 856 23.3
## 857 28.8
## 858 19.5
## 859 30.0
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## 861 28.8
## 862 40.2
## 863 32.9
## 864 22.4
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## 866 19.8
## 867 12.3
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## 869 24.8
## 870 16.4
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## 872 23.0
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## 874 30.5
## 875 26.8
## 876 35.3
## 877 27.9
## 878 22.1
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## 880 41.0
## 881 22.8
## 882 30.1
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## 884 31.7
## 885 30.1
## 886 30.8
## 887 42.6
## 888 37.1
## 889 34.2
## 890 43.4
## 891 18.7
## 892 34.0
## 893 23.2
## 894 41.7
## 895 15.1
## 896 20.6
## 897 18.9
## 898 26.6
## 899 30.1
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## 903 23.4
## 904 43.2
## 905 19.1
## 906 26.1
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## 908 32.1
## 909 30.4
## 910 29.9
## 911 32.8
## 912 22.7
## 913 28.7
## 914 35.2
## 915 22.4
## 916 32.3
## 917 18.6
## 918 42.1
## 919 38.0
## 920 22.3
## 921 33.4
## 922 23.2
## 923 18.0
## 924 20.1
## 925 19.2
## 926 28.7
## 927 28.1
## 928 22.6
## 929 18.0
## 930 21.4
## 931 27.8
## 932 27.6
## 933 32.2
## 934 24.9
## 935 27.1
## 936 24.6
## 937 24.6
## 938 18.9
## 939 16.3
## 940 31.8
## 941 21.0
## 942 20.1
## 943 29.1
## 944 32.3
## 945 29.4
## 946 50.2
## 947 44.9
## 948 28.5
## 949 19.5
## 950 45.0
## 951 22.8
## 952 25.5
## 953 31.5
## 954 31.6
## 955 31.0
## 956 29.5
## 957 23.1
## 958 30.7
## 959 44.7
## 960 33.5
## 961 25.9
## 962 28.3
## 963 26.8
## 964 27.8
## 965 36.0
## 966 22.1
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## 968 30.1
## 969 26.2
## 970 26.6
## 971 32.6
## 972 27.0
## 973 25.3
## 974 31.9
## 975 18.4
## 976 30.4
## 977 28.2
## 978 35.7
## 979 35.0
## 980 27.2
## 981 23.0
## 982 25.0
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## 985 26.0
## 986 27.2
## 987 30.4
## 988 21.7
## 989 29.1
## 990 17.6
## 991 29.2
## 992 28.1
## 993 26.6
## 994 26.9
## 995 36.2
## 996 25.9
## 997 40.9
## 998 31.5
## 999 23.3
## 1000 37.6
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## 1002 35.1
## 1003 21.9
## 1004 53.4
## 1005 34.4
## 1006 24.0
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## 1008 26.0
## 1009 31.3
## 1010 31.0
## 1011 26.5
## 1012 16.0
## 1013 21.1
## 1014 42.2
## 1015 27.7
## 1016 23.6
## 1017 18.3
## 1018 44.3
## 1019 27.3
## 1020 55.2
## 1021 44.7
## 1022 33.1
## 1023 30.0
## 1024 40.1
## 1025 23.1
## 1026 30.3
## 1027 30.5
## 1028 22.8
## 1029 42.0
## 1030 29.9
## 1031 24.0
## 1032 36.7
## 1033 22.2
## 1034 25.5
## 1035 34.3
## 1036 16.0
## 1037 25.6
## 1038 23.3
## 1039 41.6
## 1040 35.6
## 1041 22.0
## 1042 26.8
## 1043 31.9
## 1044 19.7
## 1045 31.1
## 1046 34.4
## 1047 33.2
## 1048 21.6
## 1049 25.4
## 1050 41.6
## 1051 33.1
## 1052 21.8
## 1053 30.0
## 1054 35.2
## 1055 35.6
## 1056 27.8
## 1057 29.3
## 1058 37.2
## 1059 26.1
## 1060 21.6
## 1061 22.7
## 1062 30.2
## 1063 18.0
## 1064 27.8
## 1065 23.5
## 1066 41.2
## 1067 22.7
## 1068 29.2
## 1069 42.2
## 1070 24.0
## 1071 45.5
## 1072 19.4
## 1073 28.2
## 1074 20.1
## 1075 27.2
## 1076 26.5
## 1077 17.6
## 1078 42.8
## 1079 29.3
## 1080 21.3
## 1081 29.8
## 1082 24.1
## 1083 35.2
## 1084 18.8
## 1085 17.4
## 1086 31.5
## 1087 29.9
## 1088 27.3
## 1089 28.1
## 1090 28.9
## 1091 25.2
## 1092 24.3
## 1093 37.9
## 1094 28.2
## 1095 18.4
## 1096 23.1
## 1097 39.4
## 1098 29.5
## 1099 18.3
## 1100 28.7
## 1101 32.9
## 1102 26.7
## 1103 20.1
## 1104 17.6
## 1105 43.7
## 1106 41.1
## 1107 26.8
## 1108 31.2
## 1109 27.4
## 1110 25.1
## 1111 33.0
## 1112 30.7
## 1113 42.9
## 1114 14.3
## 1115 33.2
## 1116 43.0
## 1117 22.3
## 1118 32.8
## 1119 30.5
## 1120 36.0
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## 1122 20.1
## 1123 28.1
## 1124 16.2
## 1125 30.0
## 1126 31.3
## 1127 26.7
## 1128 37.7
## 1129 35.8
## 1130 27.0
## 1131 20.7
## 1132 22.2
## 1133 41.5
## 1134 33.5
## 1135 21.8
## 1136 22.1
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## 1138 38.7
## 1139 32.1
## 1140 41.3
## 1141 20.1
## 1142 22.1
## 1143 24.9
## 1144 23.0
## 1145 29.3
## 1146 22.8
## 1147 31.6
## 1148 19.4
## 1149 22.5
## 1150 31.6
## 1151 29.1
## 1152 43.4
## 1153 26.5
## 1154 29.7
## 1155 21.8
## 1156 23.4
## 1157 23.0
## 1158 21.5
## 1159 14.6
## 1160 28.5
## 1161 29.0
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## 1163 29.6
## 1164 28.5
## 1165 25.5
## 1166 30.5
## 1167 23.0
## 1168 22.8
## 1169 31.4
## 1170 35.2
## 1171 23.3
## 1172 31.2
## 1173 24.8
## 1174 25.8
## 1175 48.4
## 1176 43.1
## 1177 27.8
## 1178 21.4
## 1179 22.1
## 1180 31.8
## 1181 20.1
## 1182 29.1
## 1183 22.6
## 1184 25.1
## 1185 33.3
## 1186 15.9
## 1187 20.8
## 1188 19.5
## 1189 39.0
## 1190 23.1
## 1191 18.8
## 1192 50.6
## 1193 36.3
## 1194 32.8
## 1195 35.8
## 1196 26.7
## 1197 26.3
## 1198 26.5
## 1199 43.7
## 1200 24.7
## 1201 46.2
## 1202 49.5
## 1203 43.3
## 1204 30.9
## 1205 38.7
## 1206 28.6
## 1207 30.2
## 1208 30.5
## 1209 33.9
## 1210 28.6
## 1211 24.5
## 1212 17.2
## 1213 27.2
## 1214 19.3
## 1215 18.5
## 1216 32.0
## 1217 44.5
## 1218 37.0
## 1219 30.8
## 1220 24.7
## 1221 18.3
## 1222 44.0
## 1223 27.6
## 1224 45.4
## 1225 28.5
## 1226 17.6
## 1227 27.5
## 1228 32.8
## 1229 29.5
## 1230 36.4
## 1231 26.1
## 1232 35.3
## 1233 18.1
## 1234 27.1
## 1235 23.0
## 1236 55.0
## 1237 26.6
## 1238 24.1
## 1239 30.3
## 1240 32.2
## 1241 26.5
## 1242 30.6
## 1243 25.8
## 1244 41.9
## 1245 29.2
## 1246 44.3
## 1247 29.1
## 1248 17.5
## 1249 31.9
## 1250 32.2
## 1251 26.0
## 1252 25.4
## 1253 54.8
## 1254 27.9
## 1255 32.8
## 1256 34.0
## 1257 25.5
## 1258 35.6
## 1259 28.3
## 1260 36.9
## 1261 22.1
## 1262 31.5
## 1263 26.7
## 1264 24.9
## 1265 32.4
## 1266 32.2
## 1267 30.3
## 1268 28.7
## 1269 24.1
## 1270 25.3
## 1271 24.8
## 1272 34.8
## 1273 39.2
## 1274 24.7
## 1275 28.6
## 1276 27.7
## 1277 33.1
## 1278 27.3
## 1279 20.3
## 1280 33.9
## 1281 28.3
## 1282 32.4
## 1283 19.7
## 1284 33.7
## 1285 35.5
## 1286 20.0
## 1287 16.3
## 1288 36.4
## 1289 28.1
## 1290 26.9
## 1291 29.4
## 1292 17.2
## 1293 26.5
## 1294 19.5
## 1295 30.6
## 1296 31.9
## 1297 26.6
## 1298 19.9
## 1299 18.0
## 1300 26.7
## 1301 25.3
## 1302 31.4
## 1303 21.1
## 1304 17.9
## 1305 27.5
## 1306 37.6
## 1307 24.1
## 1308 18.1
## 1309 31.0
## 1310 26.6
## 1311 38.7
## 1312 27.2
## 1313 27.8
## 1314 28.3
## 1315 27.5
## 1316 43.3
## 1317 20.1
## 1318 25.9
## 1319 25.8
## 1320 16.4
## 1321 29.4
## 1322 28.9
## 1323 26.7
## 1324 27.8
## 1325 38.7
## 1326 26.8
## 1327 36.1
## 1328 26.7
## 1329 27.0
## 1330 21.2
## 1331 21.0
## 1332 37.4
## 1333 26.5
## 1334 28.9
## 1335 29.5
## 1336 17.7
## 1337 34.9
## 1338 28.1
## 1339 36.8
## 1340 33.3
## 1341 29.2
## 1342 34.0
## 1343 33.9
## 1344 28.7
## 1345 21.1
## 1346 38.2
## 1347 27.7
## 1348 35.8
## 1349 27.1
## 1350 20.5
## 1351 35.6
## 1352 15.6
## 1353 43.0
## 1354 17.8
## 1355 25.8
## 1356 20.5
## 1357 19.9
## 1358 24.4
## 1359 18.3
## 1360 35.1
## 1361 35.1
## 1362 37.1
## 1363 29.4
## 1364 31.7
## 1365 31.4
## 1366 33.1
## 1367 28.5
## 1368 24.0
## 1369 18.0
## 1370 27.6
## 1371 16.9
## 1372 16.4
## 1373 35.1
## 1374 28.8
## 1375 17.6
## 1376 21.3
## 1377 19.7
## 1378 37.3
## 1379 35.5
## 1380 25.5
## 1381 30.0
## 1382 21.9
## 1383 45.5
## 1384 34.9
## 1385 19.3
## 1386 32.1
## 1387 26.9
## 1388 32.5
## 1389 19.5
## 1390 31.7
## 1391 21.0
## 1392 20.3
## 1393 21.5
## 1394 40.4
## 1395 30.1
## 1396 40.2
## 1397 34.7
## 1398 25.9
## 1399 23.7
## 1400 34.3
## 1401 34.3
## 1402 26.3
## 1403 22.1
## 1404 33.3
## 1405 37.3
## 1406 20.5
## 1407 19.1
## 1408 34.7
## 1409 16.3
## 1410 28.0
## 1411 17.2
## 1412 41.1
## 1413 25.0
## 1414 27.5
## 1415 21.5
## 1416 15.1
## 1417 29.6
## 1418 30.2
## 1419 34.9
## 1420 30.7
## 1421 36.5
## 1422 21.5
## 1423 33.2
## 1424 50.2
## 1425 22.3
## 1426 27.3
## 1427 28.3
## 1428 31.9
## 1429 24.9
## 1430 32.7
## 1431 26.4
## 1432 24.8
## 1433 30.7
## 1434 25.4
## 1435 32.0
## 1436 24.4
## 1437 20.4
## 1438 29.5
## 1439 24.4
## 1440 22.8
## 1441 20.0
## 1442 36.3
## 1443 32.8
## 1444 34.4
## 1445 30.5
## 1446 29.7
## 1447 36.9
## 1448 34.2
## 1449 37.0
## 1450 47.5
## 1451 24.2
## 1452 30.6
## 1453 52.8
## 1454 38.6
## 1455 32.8
## 1456 42.9
## 1457 25.9
## 1458 24.7
## 1459 35.8
## 1460 31.2
## 1461 26.1
## 1462 30.8
## 1463 40.5
## 1464 25.2
## 1465 28.7
## 1466 30.4
## 1467 15.2
## 1468 36.6
## 1469 34.5
## 1470 23.7
## 1471 35.7
## 1472 38.9
## 1473 40.0
## 1474 18.4
## 1475 29.0
## 1476 20.6
## 1477 28.2
## 1478 66.8
## 1479 26.2
## 1480 34.8
## 1481 34.5
## 1482 30.6
## 1483 55.1
## 1484 18.8
## 1485 29.1
## 1486 22.1
## 1487 28.9
## 1488 34.7
## 1489 20.3
## 1490 25.1
## 1491 18.2
## 1492 25.5
## 1493 34.4
## 1494 48.5
## 1495 25.2
## 1496 32.5
## 1497 42.1
## 1498 19.5
## 1499 27.7
## 1500 25.1
## 1501 29.6
## 1502 32.9
## 1503 55.9
## 1504 25.1
## 1505 24.7
## 1506 17.5
## 1507 20.8
## 1508 23.3
## 1509 22.8
## 1510 26.6
## 1511 25.5
## 1512 25.8
## 1513 25.4
## 1514 57.3
## 1515 20.2
## 1516 27.7
## 1517 23.1
## 1518 14.3
## 1519 23.3
## 1520 23.4
## 1521 22.8
## 1522 30.9
## 1523 28.4
## 1524 41.9
## 1525 34.3
## 1526 25.1
## 1527 10.3
## 1528 31.8
## 1529 31.8
## 1530 23.0
## 1531 25.4
## 1532 14.1
## 1533 35.1
## 1534 26.9
## 1535 33.0
## 1536 22.1
## 1537 20.8
## 1538 30.0
## 1539 44.0
## 1540 16.6
## 1541 28.4
## 1542 26.3
## 1543 39.4
## 1544 15.7
## 1545 34.1
## 1546 29.8
## 1547 23.6
## 1548 18.3
## 1549 28.3
## 1550 18.5
## 1551 18.4
## 1552 24.1
## 1553 25.5
## 1554 25.3
## 1555 39.9
## 1556 28.8
## 1557 37.2
## 1558 49.8
## 1559 34.3
## 1560 29.0
## 1561 37.2
## 1562 19.4
## 1563 26.2
## 1564 21.1
## 1565 31.6
## 1566 29.3
## 1567 28.4
## 1568 35.3
## 1569 40.1
## 1570 39.0
## 1571 31.5
## 1572 28.5
## 1573 28.5
## 1574 56.0
## 1575 28.6
## 1576 35.2
## 1577 32.5
## 1578 35.9
## 1579 25.1
## 1580 16.8
## 1581 27.9
## 1582 16.3
## 1583 21.4
## 1584 32.7
## 1585 23.6
## 1586 19.8
## 1587 33.1
## 1588 28.1
## 1589 38.9
## 1590 23.8
## 1591 33.8
## 1592 26.7
## 1593 32.2
## 1594 28.1
## 1595 21.3
## 1596 44.0
## 1597 21.5
## 1598 37.3
## 1599 44.8
## 1600 21.4
## 1601 32.3
## 1602 35.4
## 1603 19.7
## 1604 31.3
## 1605 35.5
## 1606 25.8
## 1607 32.8
## 1608 35.9
## 1609 41.8
## 1610 27.3
## 1611 27.7
## 1612 13.4
## 1613 17.0
## 1614 20.0
## 1615 40.9
## 1616 38.5
## 1617 30.9
## 1618 33.4
## 1619 17.1
## 1620 28.6
## 1621 24.0
## 1622 32.0
## 1623 28.4
## 1624 20.3
## 1625 33.8
## 1626 43.2
## 1627 22.7
## 1628 29.9
## 1629 29.9
## 1630 22.7
## 1631 16.1
## 1632 33.8
## 1633 22.6
## 1634 25.5
## 1635 22.5
## 1636 27.9
## 1637 23.5
## 1638 32.2
## 1639 29.9
## 1640 28.7
## 1641 37.2
## 1642 22.2
## 1643 26.6
## 1644 24.6
## 1645 41.7
## 1646 26.2
## 1647 27.1
## 1648 41.8
## 1649 34.2
## 1650 19.2
## 1651 25.2
## 1652 18.7
## 1653 43.0
## 1654 28.2
## 1655 34.7
## 1656 25.5
## 1657 39.8
## 1658 20.8
## 1659 28.2
## 1660 31.0
## 1661 21.6
## 1662 26.2
## 1663 26.0
## 1664 22.5
## 1665 24.0
## 1666 31.5
## 1667 36.3
## 1668 25.4
## 1669 32.2
## 1670 39.8
## 1671 18.6
## 1672 30.7
## 1673 16.4
## 1674 20.5
## 1675 28.7
## 1676 29.0
## 1677 24.4
## 1678 29.9
## 1679 25.3
## 1680 23.5
## 1681 20.5
## 1682 33.5
## 1683 22.0
## 1684 29.0
## 1685 30.7
## 1686 37.4
## 1687 51.8
## 1688 16.6
## 1689 29.5
## 1690 27.3
## 1691 27.5
## 1692 33.9
## 1693 27.9
## 1694 22.9
## 1695 32.1
## 1696 18.2
## 1697 30.2
## 1698 31.3
## 1699 20.3
## 1700 23.2
## 1701 30.8
## 1702 22.9
## 1703 42.8
## 1704 22.2
## 1705 28.7
## 1706 32.3
## 1707 24.2
## 1708 23.9
## 1709 34.2
## 1710 29.0
## 1711 29.9
## 1712 23.0
## 1713 17.3
## 1714 21.0
## 1715 34.3
## 1716 19.8
## 1717 24.3
## 1718 16.4
## 1719 32.6
## 1720 23.7
## 1721 27.0
## 1722 25.6
## 1723 34.0
## 1724 24.9
## 1725 26.3
## 1726 43.1
## 1727 39.6
## 1728 15.2
## 1729 41.8
## 1730 20.1
## 1731 39.3
## 1732 28.3
## 1733 27.5
## 1734 33.9
## 1735 20.0
## 1736 34.8
## 1737 20.7
## 1738 24.6
## 1739 39.4
## 1740 29.4
## 1741 24.8
## 1742 32.3
## 1743 25.3
## 1744 39.0
## 1745 29.4
## 1746 31.9
## 1747 26.4
## 1748 20.6
## 1749 26.3
## 1750 23.6
## 1751 18.0
## 1752 26.4
## 1753 22.0
## 1754 30.5
## 1755 29.1
## 1756 24.9
## 1757 36.4
## 1758 31.2
## 1759 32.8
## 1760 31.6
## 1761 35.8
## 1762 35.2
## 1763 28.0
## 1764 24.9
## 1765 35.7
## 1766 30.7
## 1767 33.9
## 1768 27.8
## 1769 23.2
## 1770 17.1
## 1771 31.6
## 1772 23.8
## 1773 29.6
## 1774 45.0
## 1775 25.6
## 1776 27.7
## 1777 25.5
## 1778 18.3
## 1779 21.0
## 1780 28.6
## 1781 23.5
## 1782 36.1
## 1783 29.2
## 1784 27.6
## 1785 36.0
## 1786 20.4
## 1787 19.9
## 1788 29.2
## 1789 27.9
## 1790 38.1
## 1791 24.1
## 1792 37.8
## 1793 29.1
## 1794 35.7
## 1795 34.5
## 1796 34.1
## 1797 21.1
## 1798 57.7
## 1799 22.2
## 1800 20.5
## 1801 26.2
## 1802 23.5
## 1803 29.1
## 1804 39.8
## 1805 21.2
## 1806 20.2
## 1807 30.8
## 1808 33.8
## 1809 17.1
## 1810 21.3
## 1811 22.3
## 1812 28.9
## 1813 26.7
## 1814 41.0
## 1815 16.7
## 1816 29.1
## 1817 23.6
## 1818 27.8
## 1819 31.4
## 1820 28.2
## 1821 30.8
## 1822 36.1
## 1823 32.7
## 1824 26.4
## 1825 20.7
## 1826 18.5
## 1827 33.5
## 1828 14.1
## 1829 23.4
## 1830 23.2
## 1831 36.0
## 1832 35.6
## 1833 21.8
## 1834 34.9
## 1835 20.4
## 1836 25.0
## 1837 22.3
## 1838 27.3
## 1839 28.9
## 1840 30.4
## 1841 36.9
## 1842 27.7
## 1843 44.4
## 1844 28.2
## 1845 35.0
## 1846 20.6
## 1847 26.5
## 1848 25.1
## 1849 22.2
## 1850 27.3
## 1851 27.3
## 1852 41.9
## 1853 38.8
## 1854 18.3
## 1855 19.5
## 1856 17.2
## 1857 20.8
## 1858 23.8
## 1859 24.7
## 1860 23.1
## 1861 22.4
## 1862 29.9
## 1863 20.0
## 1864 28.7
## 1865 26.2
## 1866 29.6
## 1867 30.8
## 1868 32.7
## 1869 21.8
## 1870 35.7
## 1871 25.4
## 1872 32.8
## 1873 21.1
## 1874 31.7
## 1875 20.0
## 1876 34.7
## 1877 28.0
## 1878 16.4
## 1879 24.6
## 1880 24.6
## 1881 30.3
## 1882 23.7
## 1883 33.5
## 1884 24.9
## 1885 48.9
## 1886 31.4
## 1887 18.4
## 1888 24.2
## 1889 34.3
## 1890 25.1
## 1891 33.3
## 1892 22.6
## 1893 26.3
## 1894 29.7
## 1895 18.5
## 1896 21.4
## 1897 45.5
## 1898 34.2
## 1899 32.7
## 1900 38.1
## 1901 26.7
## 1902 22.6
## 1903 27.7
## 1904 20.7
## 1905 25.7
## 1906 17.3
## 1907 23.3
## 1908 16.2
## 1909 20.5
## 1910 33.6
## 1911 20.2
## 1912 49.3
## 1913 26.2
## 1914 30.1
## 1915 25.1
## 1916 32.7
## 1917 26.4
## 1918 21.0
## 1919 24.1
## 1920 20.4
## 1921 30.9
## 1922 39.1
## 1923 27.7
## 1924 29.5
## 1925 30.3
## 1926 37.8
## 1927 30.2
## 1928 24.2
## 1929 25.2
## 1930 22.2
## 1931 17.7
## 1932 29.6
## 1933 32.2
## 1934 28.7
## 1935 19.5
## 1936 38.5
## 1937 20.6
## 1938 21.5
## 1939 43.8
## 1940 18.0
## 1941 28.2
## 1942 26.6
## 1943 35.5
## 1944 30.7
## 1945 18.7
## 1946 22.4
## 1947 25.2
## 1948 24.2
## 1949 20.5
## 1950 24.5
## 1951 24.8
## 1952 42.6
## 1953 23.8
## 1954 42.3
## 1955 42.2
## 1956 26.1
## 1957 22.8
## 1958 42.3
## 1959 28.5
## 1960 23.0
## 1961 32.8
## 1962 49.8
## 1963 23.8
## 1964 31.7
## 1965 34.9
## 1966 54.0
## 1967 26.8
## 1968 21.3
## 1969 19.8
## 1970 42.4
## 1971 16.4
## 1972 28.2
## 1973 26.3
## 1974 17.0
## 1975 23.3
## 1976 56.1
## 1977 25.1
## 1978 35.3
## 1979 36.3
## 1980 30.4
## 1981 43.9
## 1982 26.4
## 1983 28.3
## 1984 42.3
## 1985 38.0
## 1986 32.7
## 1987 28.8
## 1988 38.5
## 1989 30.1
## 1990 31.3
## 1991 28.4
## 1992 26.6
## 1993 20.4
## 1994 34.7
## 1995 32.5
## 1996 30.7
## 1997 29.6
## 1998 39.4
## 1999 26.1
## 2000 27.2
## 2001 41.3
## 2002 20.9
## 2003 41.5
## 2004 31.1
## 2005 24.5
## 2006 23.0
## 2007 24.7
## 2008 19.3
## 2009 37.0
## 2010 31.0
## 2011 33.1
## 2012 26.6
## 2013 27.7
## 2014 40.3
## 2015 19.5
## 2016 26.7
## 2017 26.1
## 2018 38.2
## 2019 21.3
## 2020 97.6
## 2021 40.9
## 2022 27.3
## 2023 20.9
## 2024 29.2
## 2025 17.9
## 2026 38.0
## 2027 26.1
## 2028 53.9
## 2029 22.2
## 2030 24.6
## 2031 33.4
## 2032 34.4
## 2033 17.6
## 2034 19.2
## 2035 31.8
## 2036 28.1
## 2037 32.1
## 2038 17.4
## 2039 20.2
## 2040 23.4
## 2041 39.5
## 2042 21.5
## 2043 24.3
## 2044 15.3
## 2045 32.4
## 2046 16.1
## 2047 34.3
## 2048 43.8
## 2049 19.6
## 2050 36.7
## 2051 33.7
## 2052 38.9
## 2053 28.0
## 2054 23.9
## 2055 16.6
## 2056 42.9
## 2057 17.1
## 2058 27.2
## 2059 30.3
## 2060 33.9
## 2061 20.0
## 2062 19.4
## 2063 21.5
## 2064 28.5
## 2065 34.4
## 2066 43.7
## 2067 13.7
## 2068 33.7
## 2069 18.0
## 2070 27.9
## 2071 21.8
## 2072 35.8
## 2073 23.1
## 2074 30.3
## 2075 32.0
## 2076 25.0
## 2077 30.7
## 2078 24.3
## 2079 11.5
## 2080 30.7
## 2081 33.7
## 2082 26.5
## 2083 17.6
## 2084 22.5
## 2085 18.5
## 2086 22.4
## 2087 25.3
## 2088 37.3
## 2089 39.7
## 2090 28.0
## 2091 41.4
## 2092 25.3
## 2093 28.1
## 2094 41.2
## 2095 28.8
## 2096 31.0
## 2097 28.3
## 2098 23.9
## 2099 44.2
## 2100 27.6
## 2101 35.7
## 2102 37.4
## 2103 27.5
## 2104 23.4
## 2105 25.8
## 2106 22.8
## 2107 19.5
## 2108 38.0
## 2109 23.4
## 2110 29.5
## 2111 28.2
## 2112 14.2
## 2113 28.9
## 2114 31.4
## 2115 32.4
## 2116 22.0
## 2117 26.4
## 2118 26.1
## 2119 37.6
## 2120 18.8
## 2121 23.8
## 2122 49.4
## 2123 23.8
## 2124 20.4
## 2125 40.3
## 2126 23.6
## 2127 34.3
## 2128 32.7
## 2129 28.7
## 2130 24.5
## 2131 24.8
## 2132 23.2
## 2133 23.0
## 2134 39.3
## 2135 20.1
## 2136 25.4
## 2137 23.8
## 2138 28.4
## 2139 15.4
## 2140 28.2
## 2141 26.0
## 2142 41.5
## 2143 32.2
## 2144 25.7
## 2145 33.0
## 2146 35.0
## 2147 27.4
## 2148 16.4
## 2149 31.5
## 2150 29.2
## 2151 25.9
## 2152 32.3
## 2153 30.4
## 2154 45.1
## 2155 25.9
## 2156 36.6
## 2157 18.6
## 2158 27.5
## 2159 31.3
## 2160 37.5
## 2161 23.1
## 2162 35.0
## 2163 27.0
## 2164 29.8
## 2165 23.5
## 2166 48.5
## 2167 31.8
## 2168 20.0
## 2169 29.4
## 2170 24.3
## 2171 45.4
## 2172 29.5
## 2173 49.2
## 2174 29.4
## 2175 29.1
## 2176 38.8
## 2177 23.4
## 2178 48.7
## 2179 19.7
## 2180 20.3
## 2181 33.5
## 2182 36.7
## 2183 24.4
## 2184 38.8
## 2185 44.2
## 2186 33.4
## 2187 32.5
## 2188 15.1
## 2189 21.5
## 2190 30.4
## 2191 33.4
## 2192 18.2
## 2193 18.7
## 2194 38.4
## 2195 36.4
## 2196 20.6
## 2197 48.9
## 2198 18.2
## 2199 17.0
## 2200 31.8
## 2201 33.0
## 2202 24.7
## 2203 28.1
## 2204 40.3
## 2205 35.2
## 2206 31.2
## 2207 37.6
## 2208 38.7
## 2209 28.1
## 2210 29.2
## 2211 31.1
## 2212 24.1
## 2213 18.7
## 2214 39.6
## 2215 15.7
## 2216 53.8
## 2217 32.4
## 2218 42.7
## 2219 18.6
## 2220 31.4
## 2221 33.7
## 2222 24.5
## 2223 33.7
## 2224 35.4
## 2225 22.5
## 2226 33.6
## 2227 29.7
## 2228 25.7
## 2229 20.2
## 2230 22.7
## 2231 17.4
## 2232 22.2
## 2233 23.8
## 2234 28.7
## 2235 33.1
## 2236 28.0
## 2237 16.7
## 2238 27.1
## 2239 26.4
## 2240 23.7
## 2241 33.3
## 2242 18.9
## 2243 25.5
## 2244 35.9
## 2245 23.2
## 2246 22.2
## 2247 34.0
## 2248 20.4
## 2249 34.5
## 2250 31.9
## 2251 19.8
## 2252 29.0
## 2253 36.7
## 2254 21.3
## 2255 23.7
## 2256 25.7
## 2257 34.0
## 2258 30.7
## 2259 44.8
## 2260 27.7
## 2261 23.2
## 2262 30.1
## 2263 29.3
## 2264 29.5
## 2265 25.8
## 2266 26.2
## 2267 28.8
## 2268 29.8
## 2269 26.5
## 2270 27.8
## 2271 29.0
## 2272 19.1
## 2273 17.1
## 2274 24.6
## 2275 18.3
## 2276 42.8
## 2277 46.5
## 2278 38.4
## 2279 26.0
## 2280 26.8
## 2281 21.1
## 2282 29.0
## 2283 43.0
## 2284 36.6
## 2285 27.5
## 2286 40.2
## 2287 37.1
## 2288 32.0
## 2289 32.2
## 2290 20.6
## 2291 24.1
## 2292 25.0
## 2293 25.2
## 2294 27.6
## 2295 48.8
## 2296 27.6
## 2297 39.5
## 2298 27.2
## 2299 26.3
## 2300 28.9
## 2301 30.0
## 2302 23.7
## 2303 25.5
## 2304 24.6
## 2305 20.7
## 2306 36.4
## 2307 23.4
## 2308 32.3
## 2309 18.8
## 2310 15.5
## 2311 21.4
## 2312 31.7
## 2313 29.7
## 2314 34.3
## 2315 22.1
## 2316 21.5
## 2317 30.4
## 2318 21.6
## 2319 30.9
## 2320 21.9
## 2321 19.2
## 2322 30.3
## 2323 23.0
## 2324 24.1
## 2325 52.7
## 2326 27.6
## 2327 23.9
## 2328 26.9
## 2329 23.9
## 2330 40.5
## 2331 32.0
## 2332 20.5
## 2333 44.5
## 2334 16.2
## 2335 35.8
## 2336 24.0
## 2337 33.9
## 2338 36.0
## 2339 22.9
## 2340 44.5
## 2341 17.5
## 2342 32.3
## 2343 30.3
## 2344 33.5
## 2345 30.9
## 2346 25.5
## 2347 30.0
## 2348 32.2
## 2349 21.7
## 2350 24.7
## 2351 28.8
## 2352 27.0
## 2353 26.0
## 2354 27.1
## 2355 18.5
## 2356 18.8
## 2357 31.5
## 2358 18.1
## 2359 24.3
## 2360 28.0
## 2361 17.3
## 2362 17.2
## 2363 26.9
## 2364 22.4
## 2365 25.8
## 2366 21.3
## 2367 43.0
## 2368 24.4
## 2369 30.1
## 2370 21.3
## 2371 17.8
## 2372 28.4
## 2373 23.4
## 2374 24.3
## 2375 27.8
## 2376 30.5
## 2377 25.8
## 2378 26.7
## 2379 28.1
## 2380 22.2
## 2381 25.1
## 2382 20.9
## 2383 28.9
## 2384 35.9
## 2385 29.8
## 2386 26.7
## 2387 28.4
## 2388 26.7
## 2389 32.5
## 2390 43.8
## 2391 28.3
## 2392 36.6
## 2393 33.1
## 2394 27.0
## 2395 23.6
## 2396 21.8
## 2397 23.5
## 2398 28.7
## 2399 31.6
## 2400 31.9
## 2401 25.2
## 2402 25.9
## 2403 32.5
## 2404 28.1
## 2405 27.4
## 2406 21.2
## 2407 26.8
## 2408 18.5
## 2409 30.6
## 2410 19.9
## 2411 26.5
## 2412 43.8
## 2413 31.8
## 2414 36.6
## 2415 22.9
## 2416 18.7
## 2417 29.6
## 2418 43.6
## 2419 20.3
## 2420 21.3
## 2421 39.2
## 2422 52.8
## 2423 30.2
## 2424 35.3
## 2425 37.0
## 2426 32.1
## 2427 30.5
## 2428 22.8
## 2429 34.5
## 2430 37.4
## 2431 19.5
## 2432 55.7
## 2433 30.4
## 2434 25.3
## 2435 23.1
## 2436 30.7
## 2437 18.8
## 2438 28.6
## 2439 27.5
## 2440 26.5
## 2441 40.3
## 2442 37.9
## 2443 17.1
## 2444 53.5
## 2445 33.6
## 2446 43.4
## 2447 30.5
## 2448 38.1
## 2449 29.9
## 2450 32.7
## 2451 28.6
## 2452 38.5
## 2453 22.9
## 2454 38.0
## 2455 43.8
## 2456 20.8
## 2457 26.8
## 2458 25.5
## 2459 25.4
## 2460 26.7
## 2461 50.5
## 2462 21.3
## 2463 34.7
## 2464 17.9
## 2465 36.3
## 2466 18.4
## 2467 34.5
## 2468 33.4
## 2469 19.4
## 2470 25.6
## 2471 24.5
## 2472 30.0
## 2473 28.9
## 2474 28.1
## 2475 23.0
## 2476 33.5
## 2477 34.8
## 2478 17.6
## 2479 21.1
## 2480 29.0
## 2481 15.8
## 2482 41.2
## 2483 29.7
## 2484 40.8
## 2485 33.2
## 2486 37.0
## 2487 24.5
## 2488 34.5
## 2489 28.0
## 2490 26.8
## 2491 21.0
## 2492 23.8
## 2493 29.3
## 2494 24.4
## 2495 22.6
## 2496 22.8
## 2497 29.7
## 2498 32.4
## 2499 35.8
## 2500 31.1
## 2501 31.9
## 2502 33.7
## 2503 25.6
## 2504 19.9
## 2505 45.3
## 2506 15.5
## 2507 28.3
## 2508 40.2
## 2509 24.3
## 2510 24.6
## 2511 26.6
## 2512 30.9
## 2513 23.5
## 2514 23.9
## 2515 34.2
## 2516 34.9
## 2517 26.2
## 2518 36.2
## 2519 22.4
## 2520 19.3
## 2521 41.7
## 2522 46.0
## 2523 26.9
## 2524 40.1
## 2525 27.7
## 2526 29.5
## 2527 26.0
## 2528 22.7
## 2529 16.0
## 2530 27.7
## 2531 33.1
## 2532 33.1
## 2533 29.7
## 2534 34.0
## 2535 33.3
## 2536 27.0
## 2537 14.2
## 2538 19.4
## 2539 15.3
## 2540 28.7
## 2541 21.0
## 2542 28.9
## 2543 20.3
## 2544 28.0
## 2545 29.6
## 2546 30.2
## 2547 22.2
## 2548 28.4
## 2549 29.6
## 2550 28.6
## 2551 32.6
## 2552 29.0
## 2553 30.1
## 2554 31.2
## 2555 20.7
## 2556 45.1
## 2557 14.8
## 2558 37.4
## 2559 19.9
## 2560 16.0
## 2561 27.4
## 2562 33.4
## 2563 18.5
## 2564 33.4
## 2565 20.8
## 2566 22.0
## 2567 32.5
## 2568 19.2
## 2569 32.9
## 2570 23.5
## 2571 21.7
## 2572 29.1
## 2573 30.3
## 2574 29.4
## 2575 30.1
## 2576 32.9
## 2577 34.0
## 2578 38.6
## 2579 29.3
## 2580 43.6
## 2581 22.7
## 2582 36.6
## 2583 22.6
## 2584 25.6
## 2585 31.4
## 2586 26.0
## 2587 27.0
## 2588 33.3
## 2589 17.3
## 2590 26.9
## 2591 24.8
## 2592 20.0
## 2593 35.8
## 2594 36.9
## 2595 29.6
## 2596 31.1
## 2597 25.1
## 2598 51.9
## 2599 36.3
## 2600 28.2
## 2601 35.8
## 2602 30.9
## 2603 22.1
## 2604 17.6
## 2605 29.5
## 2606 27.0
## 2607 33.2
## 2608 24.4
## 2609 34.4
## 2610 36.7
## 2611 27.2
## 2612 27.5
## 2613 32.6
## 2614 28.4
## 2615 25.5
## 2616 28.7
## 2617 23.8
## 2618 34.4
## 2619 26.1
## 2620 28.5
## 2621 29.6
## 2622 29.4
## 2623 28.2
## 2624 28.7
## 2625 38.1
## 2626 22.2
## 2627 25.7
## 2628 17.7
## 2629 26.4
## 2630 32.8
## 2631 34.5
## 2632 39.5
## 2633 23.5
## 2634 38.8
## 2635 21.2
## 2636 32.0
## 2637 63.3
## 2638 32.6
## 2639 25.2
## 2640 27.4
## 2641 38.6
## 2642 32.9
## 2643 26.0
## 2644 29.2
## 2645 29.2
## 2646 26.4
## 2647 23.1
## 2648 21.2
## 2649 26.2
## 2650 23.4
## 2651 19.8
## 2652 20.4
## 2653 25.9
## 2654 34.1
## 2655 18.3
## 2656 35.0
## 2657 26.4
## 2658 27.6
## 2659 27.0
## 2660 31.3
## 2661 18.0
## 2662 22.1
## 2663 34.4
## 2664 33.2
## 2665 23.1
## 2666 39.7
## 2667 40.7
## 2668 30.9
## 2669 27.5
## 2670 28.3
## 2671 33.4
## 2672 33.1
## 2673 41.5
## 2674 17.1
## 2675 30.0
## 2676 24.9
## 2677 32.5
## 2678 26.1
## 2679 19.2
## 2680 38.7
## 2681 29.5
## 2682 28.1
## 2683 14.1
## 2684 33.9
## 2685 26.0
## 2686 52.8
## 2687 29.2
## 2688 26.3
## 2689 23.6
## 2690 18.6
## 2691 29.7
## 2692 30.9
## 2693 22.8
## 2694 25.5
## 2695 25.6
## 2696 23.0
## 2697 20.6
## 2698 28.4
## 2699 29.7
## 2700 26.0
## 2701 37.5
## 2702 42.3
## 2703 21.4
## 2704 29.3
## 2705 31.0
## 2706 22.0
## 2707 20.9
## 2708 45.9
## 2709 61.2
## 2710 29.1
## 2711 28.4
## 2712 22.6
## 2713 24.2
## 2714 16.3
## 2715 35.9
## 2716 29.8
## 2717 37.0
## 2718 35.8
## 2719 21.1
## 2720 37.6
## 2721 24.8
## 2722 31.9
## 2723 17.5
## 2724 17.6
## 2725 38.9
## 2726 15.2
## 2727 27.4
## 2728 27.9
## 2729 16.1
## 2730 39.0
## 2731 36.6
## 2732 33.7
## 2733 27.6
## 2734 31.0
## 2735 28.5
## 2736 31.4
## 2737 25.3
## 2738 17.2
## 2739 26.9
## 2740 32.0
## 2741 22.5
## 2742 17.3
## 2743 27.0
## 2744 33.1
## 2745 25.0
## 2746 31.1
## 2747 19.6
## 2748 24.7
## 2749 48.0
## 2750 38.0
## 2751 24.0
## 2752 30.0
## 2753 24.6
## 2754 23.1
## 2755 17.4
## 2756 43.1
## 2757 27.1
## 2758 14.3
## 2759 46.8
## 2760 26.0
## 2761 29.3
## 2762 50.1
## 2763 18.6
## 2764 27.0
## 2765 25.7
## 2766 25.5
## 2767 27.3
## 2768 24.1
## 2769 42.7
## 2770 41.2
## 2771 20.2
## 2772 30.9
## 2773 27.7
## 2774 22.3
## 2775 39.4
## 2776 34.2
## 2777 20.1
## 2778 36.8
## 2779 33.9
## 2780 27.7
## 2781 22.7
## 2782 32.2
## 2783 22.0
## 2784 23.2
## 2785 26.7
## 2786 23.0
## 2787 23.4
## 2788 24.1
## 2789 31.5
## 2790 26.1
## 2791 23.7
## 2792 20.8
## 2793 18.8
## 2794 32.5
## 2795 24.3
## 2796 24.1
## 2797 32.5
## 2798 39.3
## 2799 23.9
## 2800 22.0
## 2801 37.3
## 2802 33.0
## 2803 24.7
## 2804 32.8
## 2805 29.8
## 2806 24.1
## 2807 21.6
## 2808 27.1
## 2809 27.0
## 2810 18.7
## 2811 35.8
## 2812 27.1
## 2813 33.1
## 2814 25.9
## 2815 26.7
## 2816 22.2
## 2817 26.0
## 2818 23.5
## 2819 23.5
## 2820 15.9
## 2821 24.9
## 2822 26.5
## 2823 35.7
## 2824 32.1
## 2825 28.5
## 2826 40.1
## 2827 26.6
## 2828 21.7
## 2829 28.8
## 2830 32.0
## 2831 31.4
## 2832 32.1
## 2833 19.8
## 2834 25.3
## 2835 28.8
## 2836 26.0
## 2837 30.7
## 2838 43.3
## 2839 35.2
## 2840 20.9
## 2841 35.3
## 2842 27.0
## 2843 26.1
## 2844 29.1
## 2845 32.6
## 2846 21.8
## 2847 32.3
## 2848 28.1
## 2849 32.3
## 2850 21.7
## 2851 25.0
## 2852 28.9
## 2853 21.7
## 2854 45.3
## 2855 40.2
## 2856 22.5
## 2857 21.3
## 2858 26.1
## 2859 28.8
## 2860 32.4
## 2861 20.4
## 2862 25.9
## 2863 38.8
## 2864 30.8
## 2865 24.6
## 2866 20.6
## 2867 38.8
## 2868 40.4
## 2869 36.2
## 2870 18.8
## 2871 27.6
## 2872 28.3
## 2873 39.4
## 2874 33.5
## 2875 40.4
## 2876 25.9
## 2877 27.6
## 2878 44.7
## 2879 30.8
## 2880 22.3
## 2881 27.9
## 2882 22.9
## 2883 27.3
## 2884 25.0
## 2885 48.3
## 2886 22.7
## 2887 39.1
## 2888 27.8
## 2889 36.7
## 2890 38.5
## 2891 29.4
## 2892 30.5
## 2893 23.6
## 2894 20.6
## 2895 31.7
## 2896 24.9
## 2897 33.4
## 2898 22.2
## 2899 26.5
## 2900 27.1
## 2901 30.3
## 2902 18.6
## 2903 26.4
## 2904 17.8
## 2905 37.4
## 2906 32.1
## 2907 38.2
## 2908 39.1
## 2909 29.5
## 2910 28.6
## 2911 40.1
## 2912 31.8
## 2913 34.6
## 2914 24.5
## 2915 26.2
## 2916 33.0
## 2917 22.3
## 2918 58.1
## 2919 36.9
## 2920 43.9
## 2921 18.2
## 2922 23.1
## 2923 32.6
## 2924 41.2
## 2925 28.6
## 2926 26.0
## 2927 36.8
## 2928 35.8
## 2929 24.2
## 2930 22.9
## 2931 23.1
## 2932 28.9
## 2933 26.5
## 2934 29.3
## 2935 24.8
## 2936 20.1
## 2937 18.2
## 2938 34.7
## 2939 24.0
## 2940 29.0
## 2941 27.3
## 2942 27.6
## 2943 20.4
## 2944 17.7
## 2945 27.9
## 2946 41.5
## 2947 27.4
## 2948 27.8
## 2949 17.8
## 2950 32.0
## 2951 37.3
## 2952 28.1
## 2953 29.1
## 2954 22.9
## 2955 38.8
## 2956 29.0
## 2957 28.6
## 2958 29.8
## 2959 28.9
## 2960 29.1
## 2961 16.7
## 2962 34.1
## 2963 25.7
## 2964 30.8
## 2965 23.9
## 2966 18.8
## 2967 41.8
## 2968 36.4
## 2969 28.7
## 2970 28.3
## 2971 22.4
## 2972 15.1
## 2973 22.7
## 2974 26.6
## 2975 20.8
## 2976 23.0
## 2977 35.8
## 2978 29.9
## 2979 43.4
## 2980 36.3
## 2981 40.1
## 2982 35.9
## 2983 32.4
## 2984 20.3
## 2985 33.2
## 2986 22.3
## 2987 18.1
## 2988 28.2
## 2989 29.7
## 2990 29.0
## 2991 25.4
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## 2993 22.7
## 2994 27.5
## 2995 23.8
## 2996 35.6
## 2997 27.2
## 2998 30.4
## 2999 21.5
## 3000 31.8
## 3001 29.5
## 3002 30.6
## 3003 27.6
## 3004 23.0
## 3005 24.8
## 3006 28.0
## 3007 22.2
## 3008 27.8
## 3009 30.2
## 3010 26.8
## 3011 22.0
## 3012 34.3
## 3013 29.2
## 3014 30.3
## 3015 21.4
## 3016 26.6
## 3017 30.0
## 3018 33.7
## 3019 30.9
## 3020 31.1
## 3021 23.0
## 3022 20.2
## 3023 31.6
## 3024 23.9
## 3025 26.1
## 3026 15.8
## 3027 28.7
## 3028 28.9
## 3029 25.1
## 3030 19.8
## 3031 30.8
## 3032 22.1
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## 3034 31.2
## 3035 24.9
## 3036 27.0
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## 3038 24.4
## 3039 22.6
## 3040 22.4
## 3041 26.2
## 3042 22.9
## 3043 32.6
## 3044 31.3
## 3045 43.9
## 3046 41.8
## 3047 37.7
## 3048 20.8
## 3049 21.6
## 3050 22.1
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## 3053 32.0
## 3054 25.9
## 3055 28.9
## 3056 29.3
## 3057 32.3
## 3058 33.2
## 3059 31.6
## 3060 20.6
## 3061 23.3
## 3062 30.8
## 3063 23.7
## 3064 49.3
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## 3067 28.2
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## 3071 34.0
## 3072 19.8
## 3073 30.5
## 3074 21.7
## 3075 24.6
## 3076 38.1
## 3077 19.2
## 3078 30.1
## 3079 23.3
## 3080 34.5
## 3081 30.8
## 3082 43.8
## 3083 29.9
## 3084 50.4
## 3085 22.6
## 3086 19.5
## 3087 33.4
## 3088 24.2
## 3089 52.7
## 3090 25.6
## 3091 26.9
## 3092 35.2
## 3093 22.1
## 3094 34.4
## 3095 26.0
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## 3097 20.1
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## 3099 32.1
## 3100 29.8
## 3101 27.5
## 3102 22.8
## 3103 27.6
## 3104 33.0
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## 3106 25.1
## 3107 15.3
## 3108 22.2
## 3109 21.4
## 3110 26.0
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## 3112 28.6
## 3113 21.2
## 3114 16.0
## 3115 22.7
## 3116 25.3
## 3117 31.6
## 3118 38.9
## 3119 27.1
## 3120 24.1
## 3121 31.5
## 3122 32.0
## 3123 31.8
## 3124 34.0
## 3125 23.4
## 3126 29.3
## 3127 17.2
## 3128 31.9
## 3129 31.6
## 3130 23.2
## 3131 30.0
## 3132 26.3
## 3133 31.8
## 3134 25.5
## 3135 21.3
## 3136 29.6
## 3137 28.7
## 3138 30.8
## 3139 32.1
## 3140 34.0
## 3141 16.9
## 3142 32.1
## 3143 22.6
## 3144 31.3
## 3145 29.0
## 3146 27.6
## 3147 17.7
## 3148 35.9
## 3149 33.8
## 3150 17.6
## 3151 48.3
## 3152 39.9
## 3153 11.3
## 3154 31.5
## 3155 29.6
## 3156 19.4
## 3157 18.1
## 3158 36.2
## 3159 17.9
## 3160 33.0
## 3161 20.4
## 3162 33.6
## 3163 34.5
## 3164 30.0
## 3165 12.8
## 3166 26.2
## 3167 13.5
## 3168 25.6
## 3169 18.8
## 3170 14.5
## 3171 23.4
## 3172 39.7
## 3173 40.8
## 3174 29.5
## 3175 33.0
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## 3177 33.1
## 3178 28.1
## 3179 49.3
## 3180 16.9
## 3181 35.9
## 3182 32.1
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## 3184 15.1
## 3185 42.0
## 3186 16.8
## 3187 28.8
## 3188 32.2
## 3189 16.2
## 3190 44.2
## 3191 23.4
## 3192 31.0
## 3193 28.7
## 3194 23.6
## 3195 35.7
## 3196 39.5
## 3197 27.3
## 3198 31.3
## 3199 33.4
## 3200 29.2
## 3201 26.0
## 3202 18.1
## 3203 22.4
## 3204 29.4
## 3205 21.6
## 3206 27.9
## 3207 29.6
## 3208 30.2
## 3209 43.4
## 3210 30.5
## 3211 33.2
## 3212 27.7
## 3213 33.5
## 3214 28.0
## 3215 31.5
## 3216 24.0
## 3217 27.4
## 3218 37.9
## 3219 26.2
## 3220 22.4
## 3221 43.7
## 3222 28.4
## 3223 29.8
## 3224 24.8
## 3225 34.8
## 3226 27.4
## 3227 33.5
## 3228 35.0
## 3229 24.4
## 3230 28.3
## 3231 29.1
## 3232 31.3
## 3233 32.8
## 3234 29.1
## 3235 31.9
## 3236 14.2
## 3237 26.3
## 3238 22.8
## 3239 24.8
## 3240 34.1
## 3241 21.5
## 3242 26.1
## 3243 21.4
## 3244 33.5
## 3245 23.0
## 3246 18.5
## 3247 23.4
## 3248 31.4
## 3249 31.1
## 3250 37.7
## 3251 25.3
## 3252 35.6
## 3253 24.8
## 3254 32.7
## 3255 24.9
## 3256 26.0
## 3257 22.8
## 3258 24.0
## 3259 20.3
## 3260 30.3
## 3261 23.7
## 3262 25.7
## 3263 21.9
## 3264 15.8
## 3265 30.5
## 3266 25.7
## 3267 19.0
## 3268 28.8
## 3269 22.4
## 3270 32.4
## 3271 36.6
## 3272 27.9
## 3273 27.7
## 3274 34.3
## 3275 26.7
## 3276 19.0
## 3277 20.6
## 3278 26.7
## 3279 29.2
## 3280 21.3
## 3281 51.9
## 3282 14.1
## 3283 28.9
## 3284 30.9
## 3285 36.1
## 3286 25.0
## 3287 28.6
## 3288 20.5
## 3289 16.7
## 3290 36.6
## 3291 26.4
## 3292 33.1
## 3293 27.5
## 3294 26.9
## 3295 23.9
## 3296 26.9
## 3297 27.8
## 3298 32.7
## 3299 28.7
## 3300 22.6
## 3301 26.5
## 3302 28.3
## 3303 24.3
## 3304 24.0
## 3305 32.4
## 3306 28.7
## 3307 36.7
## 3308 27.7
## 3309 24.8
## 3310 31.2
## 3311 26.1
## 3312 26.8
## 3313 26.7
## 3314 19.6
## 3315 25.8
## 3316 32.5
## 3317 28.3
## 3318 24.5
## 3319 25.2
## 3320 32.3
## 3321 30.1
## 3322 35.7
## 3323 20.0
## 3324 23.5
## 3325 23.4
## 3326 22.3
## 3327 28.7
## 3328 20.9
## 3329 29.4
## 3330 27.6
## 3331 43.9
## 3332 28.7
## 3333 34.7
## 3334 37.1
## 3335 24.2
## 3336 22.7
## 3337 29.3
## 3338 20.0
## 3339 22.7
## 3340 25.4
## 3341 37.6
## 3342 44.7
## 3343 26.3
## 3344 25.0
## 3345 32.3
## 3346 24.9
## 3347 33.7
## 3348 26.6
## 3349 53.4
## 3350 41.7
## 3351 22.0
## 3352 20.3
## 3353 42.7
## 3354 28.2
## 3355 32.5
## 3356 22.5
## 3357 26.5
## 3358 41.0
## 3359 27.0
## 3360 25.9
## 3361 23.7
## 3362 30.0
## 3363 15.0
## 3364 21.5
## 3365 25.9
## 3366 24.3
## 3367 39.2
## 3368 14.4
## 3369 26.6
## 3370 30.7
## 3371 35.4
## 3372 29.2
## 3373 26.7
## 3374 21.5
## 3375 19.1
## 3376 25.4
## 3377 34.0
## 3378 23.9
## 3379 20.9
## 3380 18.2
## 3381 27.6
## 3382 50.3
## 3383 24.5
## 3384 16.6
## 3385 24.0
## 3386 18.8
## 3387 34.0
## 3388 25.8
## 3389 30.3
## 3390 28.9
## 3391 21.3
## 3392 26.8
## 3393 29.2
## 3394 25.0
## 3395 21.5
## 3396 17.1
## 3397 32.5
## 3398 26.9
## 3399 30.4
## 3400 29.8
## 3401 20.3
## 3402 41.1
## 3403 33.9
## 3404 39.0
## 3405 31.2
## 3406 38.2
## 3407 44.7
## 3408 33.5
## 3409 27.0
## 3410 31.1
## 3411 29.2
## 3412 26.6
## 3413 17.9
## 3414 24.2
## 3415 19.5
## 3416 28.5
## 3417 21.3
## 3418 41.3
## 3419 31.3
## 3420 40.8
## 3421 36.6
## 3422 26.7
## 3423 18.7
## 3424 15.2
## 3425 26.8
## 3426 25.1
## 3427 31.3
## 3428 59.7
## 3429 29.8
## 3430 33.5
## 3431 24.5
## 3432 33.6
## 3433 39.7
## 3434 47.4
## 3435 26.4
## 3436 33.0
## 3437 31.4
## 3438 27.2
## 3439 35.7
## 3440 29.5
## 3441 21.0
## 3442 26.6
## 3443 24.3
## 3444 43.9
## 3445 52.5
## 3446 27.0
## 3447 32.7
## 3448 29.4
## 3449 15.1
## 3450 32.1
## 3451 32.9
## 3452 27.6
## 3453 26.5
## 3454 19.2
## 3455 25.9
## 3456 21.9
## 3457 17.4
## 3458 13.2
## 3459 25.2
## 3460 28.2
## 3461 31.5
## 3462 25.2
## 3463 14.5
## 3464 28.0
## 3465 15.1
## 3466 31.4
## 3467 26.3
## 3468 39.6
## 3469 28.9
## 3470 31.4
## 3471 34.3
## 3472 27.0
## 3473 27.2
## 3474 23.8
## 3475 25.3
## 3476 32.6
## 3477 31.8
## 3478 22.4
## 3479 28.0
## 3480 23.9
## 3481 25.3
## 3482 16.4
## 3483 26.9
## 3484 25.4
## 3485 18.7
## 3486 37.5
## 3487 41.4
## 3488 37.5
## 3489 15.8
## 3490 37.6
## 3491 30.5
## 3492 22.1
## 3493 19.2
## 3494 38.0
## 3495 18.7
## 3496 25.7
## 3497 30.1
## 3498 36.3
## 3499 20.4
## 3500 20.9
## 3501 28.4
## 3502 33.8
## 3503 24.0
## 3504 43.3
## 3505 36.4
## 3506 37.9
## 3507 32.6
## 3508 23.9
## 3509 18.1
## 3510 36.4
## 3511 29.2
## 3512 30.8
## 3513 23.8
## 3514 17.9
## 3515 31.8
## 3516 19.5
## 3517 31.5
## 3518 24.1
## 3519 35.9
## 3520 31.6
## 3521 19.0
## 3522 18.8
## 3523 33.5
## 3524 25.0
## 3525 52.9
## 3526 24.8
## 3527 24.5
## 3528 40.4
## 3529 20.2
## 3530 31.9
## 3531 25.4
## 3532 15.4
## 3533 38.6
## 3534 31.0
## 3535 26.4
## 3536 37.7
## 3537 35.2
## 3538 54.7
## 3539 21.6
## 3540 23.9
## 3541 26.1
## 3542 39.7
## 3543 29.9
## 3544 31.4
## 3545 34.5
## 3546 29.4
## 3547 26.9
## 3548 22.4
## 3549 20.5
## 3550 18.6
## 3551 31.4
## 3552 18.5
## 3553 41.8
## 3554 21.2
## 3555 28.6
## 3556 16.0
## 3557 30.6
## 3558 29.0
## 3559 28.6
## 3560 34.8
## 3561 42.0
## 3562 30.3
## 3563 30.9
## 3564 32.1
## 3565 19.6
## 3566 32.8
## 3567 31.5
## 3568 34.7
## 3569 21.5
## 3570 27.6
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## 3572 21.1
## 3573 23.8
## 3574 33.5
## 3575 33.4
## 3576 23.3
## 3577 21.0
## 3578 21.2
## 3579 18.4
## 3580 26.9
## 3581 20.2
## 3582 21.9
## 3583 24.2
## 3584 29.6
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## 3586 22.0
## 3587 29.8
## 3588 24.0
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## 3590 38.0
## 3591 16.9
## 3592 23.4
## 3593 38.5
## 3594 21.6
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## 3596 25.1
## 3597 41.1
## 3598 21.5
## 3599 21.0
## 3600 24.1
## 3601 30.6
## 3602 19.8
## 3603 29.2
## 3604 33.7
## 3605 31.0
## 3606 21.5
## 3607 19.1
## 3608 21.4
## 3609 24.8
## 3610 35.1
## 3611 28.6
## 3612 35.7
## 3613 45.4
## 3614 34.5
## 3615 21.2
## 3616 22.7
## 3617 39.1
## 3618 21.9
## 3619 16.5
## 3620 23.0
## 3621 22.5
## 3622 20.4
## 3623 28.7
## 3624 22.4
## 3625 26.3
## 3626 23.6
## 3627 25.9
## 3628 30.7
## 3629 24.5
## 3630 24.0
## 3631 20.1
## 3632 38.0
## 3633 26.6
## 3634 24.5
## 3635 41.3
## 3636 34.8
## 3637 35.5
## 3638 24.1
## 3639 19.0
## 3640 16.6
## 3641 28.6
## 3642 22.4
## 3643 38.6
## 3644 32.0
## 3645 40.1
## 3646 32.0
## 3647 23.9
## 3648 25.0
## 3649 28.5
## 3650 19.8
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## 3653 37.2
## 3654 24.8
## 3655 39.2
## 3656 61.6
## 3657 27.2
## 3658 38.0
## 3659 36.2
## 3660 16.6
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## 3662 31.4
## 3663 35.3
## 3664 35.8
## 3665 28.6
## 3666 34.0
## 3667 15.5
## 3668 31.1
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## 3670 37.7
## 3671 24.2
## 3672 33.4
## 3673 33.0
## 3674 25.7
## 3675 19.4
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## 3677 18.0
## 3678 40.1
## 3679 26.9
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## 3681 27.6
## 3682 23.3
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## 3685 29.4
## 3686 31.9
## 3687 25.1
## 3688 35.6
## 3689 21.1
## 3690 17.8
## 3691 31.5
## 3692 26.6
## 3693 44.8
## 3694 31.3
## 3695 17.2
## 3696 25.3
## 3697 28.8
## 3698 49.9
## 3699 18.0
## 3700 23.5
## 3701 18.1
## 3702 41.7
## 3703 20.7
## 3704 30.3
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## 3706 18.9
## 3707 20.4
## 3708 31.8
## 3709 44.8
## 3710 37.1
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## 3712 24.1
## 3713 18.1
## 3714 36.3
## 3715 19.1
## 3716 21.1
## 3717 28.9
## 3718 18.9
## 3719 43.3
## 3720 37.2
## 3721 32.2
## 3722 26.3
## 3723 25.4
## 3724 18.3
## 3725 21.4
## 3726 22.9
## 3727 16.2
## 3728 29.6
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## 3730 24.2
## 3731 37.3
## 3732 33.3
## 3733 33.1
## 3734 22.2
## 3735 24.4
## 3736 30.3
## 3737 28.2
## 3738 17.0
## 3739 53.8
## 3740 30.4
## 3741 22.3
## 3742 25.3
## 3743 29.8
## 3744 43.8
## 3745 34.5
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## 3747 31.5
## 3748 39.2
## 3749 47.3
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## 3752 31.1
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## 3755 24.7
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## 3758 27.4
## 3759 29.6
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## 3762 43.9
## 3763 22.2
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## 3765 23.7
## 3766 18.3
## 3767 18.3
## 3768 28.9
## 3769 27.1
## 3770 13.8
## 3771 21.9
## 3772 24.0
## 3773 20.8
## 3774 39.8
## 3775 26.2
## 3776 43.9
## 3777 27.3
## 3778 22.0
## 3779 40.0
## 3780 20.1
## 3781 42.2
## 3782 25.8
## 3783 27.2
## 3784 30.9
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## 3786 33.1
## 3787 37.8
## 3788 25.4
## 3789 28.4
## 3790 16.6
## 3791 35.1
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## 3793 29.8
## 3794 13.0
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## 3796 23.6
## 3797 36.9
## 3798 16.7
## 3799 26.5
## 3800 37.0
## 3801 27.7
## 3802 23.5
## 3803 40.4
## 3804 27.7
## 3805 28.3
## 3806 55.0
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## 3808 25.0
## 3809 24.8
## 3810 35.5
## 3811 25.0
## 3812 17.3
## 3813 37.8
## 3814 32.8
## 3815 28.7
## 3816 28.8
## 3817 28.4
## 3818 24.9
## 3819 29.6
## 3820 26.1
## 3821 29.5
## 3822 23.9
## 3823 25.8
## 3824 36.2
## 3825 31.3
## 3826 26.1
## 3827 19.1
## 3828 17.6
## 3829 21.4
## 3830 24.0
## 3831 25.5
## 3832 19.9
## 3833 19.9
## 3834 35.5
## 3835 26.9
## 3836 24.2
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## 3839 26.5
## 3840 30.6
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## 3843 30.5
## 3844 15.8
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## 3846 18.0
## 3847 13.9
## 3848 36.7
## 3849 30.8
## 3850 34.6
## 3851 16.3
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## 3853 27.3
## 3854 30.4
## 3855 34.5
## 3856 17.4
## 3857 32.0
## 3858 33.4
## 3859 40.2
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## 3861 46.2
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## 3864 27.3
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## 3871 35.2
## 3872 32.4
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## 3875 29.0
## 3876 22.3
## 3877 27.3
## 3878 17.4
## 3879 39.0
## 3880 26.7
## 3881 24.2
## 3882 22.8
## 3883 25.6
## 3884 21.9
## 3885 25.9
## 3886 30.6
## 3887 25.7
## 3888 33.3
## 3889 23.8
## 3890 17.2
## 3891 31.0
## 3892 24.7
## 3893 27.1
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## 3895 50.9
## 3896 29.2
## 3897 23.6
## 3898 33.5
## 3899 16.3
## 3900 30.8
## 3901 31.1
## 3902 26.4
## 3903 18.6
## 3904 37.3
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## 3906 17.6
## 3907 22.3
## 3908 20.2
## 3909 30.9
## 3910 31.5
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## 3913 32.8
## 3914 25.4
## 3915 27.2
## 3916 31.6
## 3917 39.6
## 3918 19.8
## 3919 29.6
## 3920 25.5
## 3921 25.8
## 3922 32.1
## 3923 25.6
## 3924 26.3
## 3925 39.4
## 3926 25.6
## 3927 34.0
## 3928 35.8
## 3929 24.9
## 3930 29.3
## 3931 23.4
## 3932 24.5
## 3933 29.8
## 3934 28.9
## 3935 27.3
## 3936 23.2
## 3937 34.2
## 3938 23.3
## 3939 26.9
## 3940 21.8
## 3941 26.9
## 3942 29.9
## 3943 22.4
## 3944 27.5
## 3945 35.0
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## 3947 25.5
## 3948 28.6
## 3949 34.8
## 3950 50.6
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## 3952 14.8
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## 3954 22.3
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## 3958 36.2
## 3959 25.4
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## 3961 28.6
## 3962 33.7
## 3963 37.9
## 3964 28.4
## 3965 20.0
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## 3968 27.6
## 3969 24.2
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## 3973 20.7
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## 3976 28.0
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## 3983 27.9
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## 3994 33.9
## 3995 18.6
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## 4008 25.0
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## 4012 37.0
## 4013 21.3
## 4014 28.3
## 4015 31.1
## 4016 25.1
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## 4018 29.4
## 4019 14.1
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## 4075 16.2
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## 4098 32.6
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## 4103 34.7
## 4104 32.4
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## 4106 45.3
## 4107 40.3
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## 4109 46.0
## 4110 32.4
## 4111 19.4
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## 4113 26.2
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## 4116 24.3
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## 4118 28.5
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## 4123 25.8
## 4124 31.8
## 4125 26.8
## 4126 25.9
## 4127 29.2
## 4128 25.3
## 4129 41.7
## 4130 38.8
## 4131 29.1
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## 4133 39.3
## 4134 41.8
## 4135 26.2
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## 4137 26.1
## 4138 24.1
## 4139 30.7
## 4140 22.4
## 4141 23.0
## 4142 30.2
## 4143 30.3
## 4144 28.7
## 4145 36.3
## 4146 16.3
## 4147 34.5
## 4148 20.8
## 4149 31.0
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## 4151 22.7
## 4152 38.4
## 4153 40.8
## 4154 32.9
## 4155 31.3
## 4156 28.5
## 4157 27.6
## 4158 40.2
## 4159 24.7
## 4160 17.7
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## 4162 28.5
## 4163 26.2
## 4164 26.0
## 4165 45.3
## 4166 31.5
## 4167 20.6
## 4168 29.4
## 4169 57.9
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## 4172 38.1
## 4173 19.5
## 4174 35.5
## 4175 26.4
## 4176 22.2
## 4177 29.1
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## 4179 22.6
## 4180 33.3
## 4181 21.3
## 4182 20.4
## 4183 28.7
## 4184 28.8
## 4185 38.7
## 4186 32.3
## 4187 37.9
## 4188 25.3
## 4189 27.7
## 4190 25.1
## 4191 16.8
## 4192 27.7
## 4193 28.6
## 4194 37.6
## 4195 32.7
## 4196 22.7
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## 4199 45.8
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## 4201 16.7
## 4202 22.2
## 4203 33.1
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## 4205 41.4
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## 4209 23.5
## 4210 23.0
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## 4213 26.1
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## 4215 19.3
## 4216 18.2
## 4217 24.2
## 4218 41.5
## 4219 28.0
## 4220 37.0
## 4221 32.2
## 4222 35.9
## 4223 47.6
## 4224 32.1
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## 4226 22.2
## 4227 20.1
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## 4229 28.4
## 4230 20.6
## 4231 19.8
## 4232 23.4
## 4233 25.1
## 4234 30.1
## 4235 33.3
## 4236 24.0
## 4237 27.8
## 4238 21.4
## 4239 25.5
## 4240 21.8
## 4241 18.9
## 4242 21.9
## 4243 30.6
## 4244 29.8
## 4245 28.7
## 4246 35.5
## 4247 29.1
## 4248 32.8
## 4249 22.8
## 4250 31.3
## 4251 29.0
## 4252 19.0
## 4253 24.1
## 4254 21.4
## 4255 28.0
## 4256 27.6
## 4257 28.7
## 4258 24.5
## 4259 25.0
## 4260 29.6
## 4261 29.9
## 4262 35.6
## 4263 27.9
## 4264 42.6
## 4265 21.2
## 4266 28.5
## 4267 25.6
## 4268 31.1
## 4269 30.4
## 4270 22.9
## 4271 31.9
## 4272 48.8
## 4273 43.0
## 4274 21.8
## 4275 35.5
## 4276 24.3
## 4277 23.1
## 4278 18.5
## 4279 42.4
## 4280 32.3
## 4281 22.6
## 4282 17.8
## 4283 18.4
## 4284 26.9
## 4285 32.0
## 4286 23.4
## 4287 31.4
## 4288 22.4
## 4289 28.9
## 4290 27.4
## 4291 57.2
## 4292 28.4
## 4293 23.5
## 4294 28.3
## 4295 38.2
## 4296 33.3
## 4297 33.3
## 4298 28.8
## 4299 32.1
## 4300 28.9
## 4301 25.5
## 4302 25.9
## 4303 19.5
## 4304 23.8
## 4305 24.9
## 4306 18.5
## 4307 30.6
## 4308 16.1
## 4309 32.5
## 4310 27.4
## 4311 30.2
## 4312 23.5
## 4313 36.0
## 4314 24.8
## 4315 27.5
## 4316 40.0
## 4317 18.1
## 4318 18.8
## 4319 23.6
## 4320 29.7
## 4321 43.7
## 4322 27.3
## 4323 20.2
## 4324 23.8
## 4325 21.4
## 4326 25.1
## 4327 17.9
## 4328 34.5
## 4329 27.1
## 4330 26.1
## 4331 43.4
## 4332 33.2
## 4333 37.2
## 4334 41.3
## 4335 35.4
## 4336 26.1
## 4337 24.5
## 4338 32.7
## 4339 29.2
## 4340 20.4
## 4341 33.5
## 4342 14.0
## 4343 33.5
## 4344 27.5
## 4345 35.3
## 4346 30.1
## 4347 32.6
## 4348 47.5
## 4349 31.6
## 4350 23.5
## 4351 40.3
## 4352 34.1
## 4353 16.1
## 4354 26.4
## 4355 19.0
## 4356 34.7
## 4357 23.3
## 4358 32.6
## 4359 26.0
## 4360 35.1
## 4361 18.6
## 4362 30.4
## 4363 32.8
## 4364 21.6
## 4365 23.3
## 4366 31.4
## 4367 26.3
## 4368 20.1
## 4369 28.3
## 4370 40.4
## 4371 18.6
## 4372 44.7
## 4373 25.3
## 4374 28.3
## 4375 39.9
## 4376 34.7
## 4377 31.9
## 4378 35.0
## 4379 32.7
## 4380 30.6
## 4381 27.9
## 4382 20.4
## 4383 29.6
## 4384 23.5
## 4385 46.4
## 4386 27.4
## 4387 25.2
## 4388 25.8
## 4389 33.3
## 4390 27.7
## 4391 28.9
## 4392 33.1
## 4393 38.1
## 4394 27.9
## 4395 17.4
## 4396 27.1
## 4397 22.7
## 4398 28.3
## 4399 21.5
## 4400 30.0
## 4401 18.6
## 4402 45.2
## 4403 39.7
## 4404 31.5
## 4405 23.2
## 4406 27.3
## 4407 26.5
## 4408 19.3
## 4409 26.1
## 4410 19.8
## 4411 25.1
## 4412 37.3
## 4413 30.3
## 4414 16.1
## 4415 25.1
## 4416 26.7
## 4417 29.3
## 4418 38.7
## 4419 35.8
## 4420 21.7
## 4421 31.4
## 4422 26.9
## 4423 33.0
## 4424 24.5
## 4425 44.9
## 4426 25.5
## 4427 22.1
## 4428 24.3
## 4429 32.4
## 4430 33.1
## 4431 26.7
## 4432 37.9
## 4433 39.6
## 4434 19.8
## 4435 30.0
## 4436 23.1
## 4437 34.3
## 4438 38.4
## 4439 32.8
## 4440 34.4
## 4441 44.6
## 4442 32.8
## 4443 26.4
## 4444 27.3
## 4445 32.4
## 4446 43.2
## 4447 33.6
## 4448 26.4
## 4449 46.9
## 4450 36.3
## 4451 34.9
## 4452 29.6
## 4453 16.5
## 4454 35.4
## 4455 23.6
## 4456 33.1
## 4457 40.2
## 4458 14.8
## 4459 34.8
## 4460 33.5
## 4461 31.9
## 4462 16.1
## 4463 50.2
## 4464 35.9
## 4465 39.6
## 4466 27.5
## 4467 32.3
## 4468 15.4
## 4469 28.4
## 4470 19.5
## 4471 25.0
## 4472 26.3
## 4473 39.6
## 4474 38.6
## 4475 33.9
## 4476 32.2
## 4477 25.1
## 4478 37.4
## 4479 30.1
## 4480 27.0
## 4481 32.4
## 4482 26.8
## 4483 27.2
## 4484 36.7
## 4485 36.0
## 4486 37.2
## 4487 19.1
## 4488 21.8
## 4489 26.5
## 4490 35.0
## 4491 32.6
## 4492 23.9
## 4493 33.7
## 4494 29.4
## 4495 29.0
## 4496 20.2
## 4497 27.4
## 4498 25.0
## 4499 30.7
## 4500 23.0
## 4501 26.6
## 4502 18.1
## 4503 47.1
## 4504 29.7
## 4505 19.9
## 4506 13.3
## 4507 32.7
## 4508 31.8
## 4509 31.4
## 4510 20.4
## 4511 33.2
## 4512 30.5
## 4513 30.3
## 4514 34.2
## 4515 34.4
## 4516 48.1
## 4517 22.8
## 4518 30.5
## 4519 35.9
## 4520 33.7
## 4521 24.1
## 4522 25.4
## 4523 25.5
## 4524 29.2
## 4525 17.4
## 4526 29.9
## 4527 21.5
## 4528 24.7
## 4529 25.1
## 4530 34.4
## 4531 27.9
## 4532 31.5
## 4533 31.8
## 4534 30.1
## 4535 26.4
## 4536 27.2
## 4537 22.5
## 4538 29.8
## 4539 26.1
## 4540 24.9
## 4541 23.5
## 4542 30.1
## 4543 37.3
## 4544 25.5
## 4545 35.3
## 4546 27.6
## 4547 28.7
## 4548 29.9
## 4549 34.2
## 4550 24.9
## 4551 36.8
## 4552 24.5
## 4553 34.6
## 4554 30.0
## 4555 28.8
## 4556 28.6
## 4557 23.6
## 4558 20.1
## 4559 21.1
## 4560 34.1
## 4561 29.5
## 4562 37.8
## 4563 31.2
## 4564 31.1
## 4565 34.2
## 4566 17.7
## 4567 39.2
## 4568 22.2
## 4569 29.5
## 4570 27.0
## 4571 16.8
## 4572 23.3
## 4573 33.5
## 4574 15.6
## 4575 28.2
## 4576 22.6
## 4577 20.2
## 4578 22.2
## 4579 22.6
## 4580 26.7
## 4581 22.9
## 4582 21.5
## 4583 30.3
## 4584 14.8
## 4585 24.3
## 4586 17.4
## 4587 29.0
## 4588 26.3
## 4589 51.7
## 4590 29.2
## 4591 18.3
## 4592 21.9
## 4593 16.3
## 4594 27.4
## 4595 20.4
## 4596 23.2
## 4597 30.3
## 4598 16.7
## 4599 31.0
## 4600 33.5
## 4601 17.0
## 4602 19.4
## 4603 14.6
## 4604 32.2
## 4605 37.7
## 4606 27.4
## 4607 25.0
## 4608 20.1
## 4609 21.7
## 4610 38.2
## 4611 17.0
## 4612 28.4
## 4613 30.0
## 4614 34.1
## 4615 19.3
## 4616 21.6
## 4617 32.9
## 4618 27.2
## 4619 27.8
## 4620 29.9
## 4621 28.4
## 4622 24.1
## 4623 24.0
## 4624 23.4
## 4625 32.6
## 4626 33.1
## 4627 33.8
## 4628 30.3
## 4629 36.9
## 4630 29.7
## 4631 38.8
## 4632 30.9
## 4633 36.9
## 4634 18.8
## 4635 25.5
## 4636 32.3
## 4637 25.8
## 4638 31.1
## 4639 27.9
## 4640 18.6
## 4641 20.1
## 4642 26.7
## 4643 30.3
## 4644 30.4
## 4645 30.0
## 4646 24.9
## 4647 60.9
## 4648 24.3
## 4649 38.7
## 4650 18.6
## 4651 17.1
## 4652 29.4
## 4653 16.9
## 4654 34.2
## 4655 27.6
## 4656 47.8
## 4657 18.9
## 4658 24.4
## 4659 25.2
## 4660 30.7
## 4661 26.1
## 4662 25.3
## 4663 32.8
## 4664 45.7
## 4665 24.6
## 4666 32.3
## 4667 47.6
## 4668 34.4
## 4669 18.2
## 4670 44.5
## 4671 36.6
## 4672 19.4
## 4673 22.9
## 4674 20.0
## 4675 36.1
## 4676 27.3
## 4677 42.2
## 4678 26.4
## 4679 23.6
## 4680 18.6
## 4681 18.0
## 4682 31.1
## 4683 30.0
## 4684 43.8
## 4685 23.8
## 4686 36.2
## 4687 32.6
## 4688 18.0
## 4689 25.5
## 4690 29.9
## 4691 32.1
## 4692 25.4
## 4693 23.4
## 4694 23.4
## 4695 21.8
## 4696 30.8
## 4697 37.9
## 4698 42.5
## 4699 23.4
## 4700 35.4
## 4701 32.3
## 4702 27.0
## 4703 46.3
## 4704 30.1
## 4705 34.7
## 4706 18.3
## 4707 16.2
## 4708 33.2
## 4709 18.6
## 4710 25.1
## 4711 24.1
## 4712 33.1
## 4713 24.8
## 4714 23.4
## 4715 54.1
## 4716 28.9
## 4717 38.1
## 4718 37.2
## 4719 19.6
## 4720 29.0
## 4721 26.7
## 4722 20.5
## 4723 34.1
## 4724 42.4
## 4725 37.7
## 4726 39.1
## 4727 28.9
## 4728 30.7
## 4729 33.8
## 4730 32.1
## 4731 40.5
## 4732 24.8
## 4733 31.8
## 4734 27.0
## 4735 13.7
## 4736 23.4
## 4737 16.4
## 4738 14.9
## 4739 38.8
## 4740 38.6
## 4741 32.2
## 4742 30.6
## 4743 28.1
## 4744 35.2
## 4745 21.8
## 4746 28.1
## 4747 28.2
## 4748 28.4
## 4749 37.4
## 4750 21.8
## 4751 19.8
## 4752 16.2
## 4753 33.6
## 4754 21.2
## 4755 28.4
## 4756 41.1
## 4757 24.9
## 4758 56.6
## 4759 28.8
## 4760 33.7
## 4761 38.6
## 4762 33.8
## 4763 22.4
## 4764 37.3
## 4765 23.4
## 4766 39.1
## 4767 21.2
## 4768 31.2
## 4769 28.0
## 4770 21.1
## 4771 15.7
## 4772 29.1
## 4773 26.1
## 4774 16.2
## 4775 27.1
## 4776 28.8
## 4777 37.9
## 4778 21.6
## 4779 30.1
## 4780 29.7
## 4781 26.4
## 4782 46.0
## 4783 26.1
## 4784 23.2
## 4785 28.4
## 4786 20.5
## 4787 24.6
## 4788 32.2
## 4789 30.5
## 4790 24.9
## 4791 26.5
## 4792 34.5
## 4793 21.5
## 4794 15.9
## 4795 17.7
## 4796 26.5
## 4797 24.4
## 4798 26.6
## 4799 23.9
## 4800 30.1
## 4801 23.6
## 4802 18.4
## 4803 32.1
## 4804 24.4
## 4805 27.3
## 4806 34.8
## 4807 28.4
## 4808 40.2
## 4809 31.1
## 4810 24.0
## 4811 38.1
## 4812 29.9
## 4813 24.5
## 4814 49.5
## 4815 35.5
## 4816 29.5
## 4817 28.8
## 4818 22.1
## 4819 29.4
## 4820 45.0
## 4821 27.1
## 4822 28.3
## 4823 20.1
## 4824 31.3
## 4825 17.6
## 4826 24.5
## 4827 24.1
## 4828 31.3
## 4829 31.5
## 4830 29.9
## 4831 30.2
## 4832 27.8
## 4833 15.6
## 4834 26.3
## 4835 24.8
## 4836 17.1
## 4837 20.3
## 4838 18.7
## 4839 28.8
## 4840 28.7
## 4841 24.6
## 4842 25.3
## 4843 29.7
## 4844 21.1
## 4845 26.9
## 4846 26.2
## 4847 26.3
## 4848 24.8
## 4849 25.0
## 4850 34.6
## 4851 42.7
## 4852 24.5
## 4853 19.3
## 4854 29.3
## 4855 22.1
## 4856 27.8
## 4857 24.7
## 4858 25.3
## 4859 41.2
## 4860 47.6
## 4861 23.4
## 4862 22.7
## 4863 29.7
## 4864 32.3
## 4865 36.9
## 4866 27.7
## 4867 24.3
## 4868 37.4
## 4869 25.1
## 4870 24.3
## 4871 24.3
## 4872 28.7
## 4873 16.8
## 4874 35.8
## 4875 40.0
## 4876 24.3
## 4877 25.6
## 4878 37.8
## 4879 23.0
## 4880 21.0
## 4881 15.5
## 4882 17.1
## 4883 28.0
## 4884 40.8
## 4885 37.5
## 4886 24.2
## 4887 26.9
## 4888 33.1
## 4889 21.8
## 4890 34.7
## 4891 30.2
## 4892 16.8
## 4893 21.0
## 4894 30.9
## 4895 38.9
## 4896 24.3
## 4897 17.4
## 4898 28.2
## 4899 40.8
## 4900 17.5
## 4901 28.3
## 4902 24.5
## 4903 21.7
## 4904 46.9
## 4905 18.6
## 4906 40.0
## 4907 30.6
## 4908 25.6
## 4909 26.2plot_ly(data=Stroke,
x=~bmi,
y = "",
type='box',
hoverinfo = 'x') %>%
layout(
title = list(text = "Distribution of BMI"),
xaxis = list(title = "BMI")
)## Warning: Ignoring 201 observations